Introduction
A large portion of investigations into the long-term effects of MDMA in humans consist
of retrospective studies of Ecstasy users. With the exception of the conference
presentations described in the previous section, studies of the long-term psychological
and cognitive effects of MDMA consist exclusively of retrospective studies of samples of
Ecstasy users, usually compared with one or more samples of individuals who have not
used Ecstasy. The term "Ecstasy users" refers here to individuals who self-administer
material sold illicitly and purported to contain MDMA. Because examinations of tablet
contents suggest that up to 40% of tablets sold as Ecstasy contain substances in addition
to or instead of MDMA, this term is preferable when referring to this material (Cole et al.
2003; Baggott et al. 2000), even if at least a slim majority of tablet contents are MDMA
or a related compound such as MDEA (MDE) or MDA. As noted in the IB and in the
previous section, studies in Ecstasy users offer a conservative estimate of the upper limits
of risk for participating in human trials of MDMA.
Areas of investigation include studies of serotonin function and measures believed to be
directly tied to serotonin function in humans, measures of mood or psychological well-
being, and measures of cognitive function. In 2003, researchers in Europe and the US
published studies in all of the areas listed above. In most cases, authors of recent
publications have already published studies in Ecstasy users, though this is not true in all
cases (for example McCardle et al. 2004; Hanson and Luciana 2004; Roiser and Sahakian
2003).
Issues and methodological flaws common to retrospective studies in Ecstasy users have
been discussed in detail in the IB, as well as in other reviews (Baggott 2002; Cole and
Sumnall 2003A; Green et al. 2003B), and so they will not be discussed here. However,
note that volunteers in studies of Ecstasy users have already decided to self-administer
Ecstasy, and that the behavioral and psychological antecedents of this choice may
distinguish Ecstasy users, especially regular or heavy users, and people who decide not to
self-administer the drug.
While most studies of people who have self-administered Ecstasy are evaluations of long-
term effects, some recent publications examined acute or sub-acute effects in samples of
Ecstasy users, presumably because it is easier to perform these studies than to obtain
permission and carry out human trials of MDMA. While these studies lack control over
the dose and presence of MDMA, some (e.g. Brookhuis et al. 2003) collected and
assessed pill content from subjects.
This section will first review retrospective and naturalistic studies investigating acute and
sub-acute effects of Ecstasy. Then, studies assessing psychological well-being and
cognitive function in Ecstasy users will be reviewed, followed by a discussion of the
relevance of study findings to assessments of serotonin function. Finally, the review will
address assessments of other domains and functions, such as response to auditory startle
and pre-pulse inhibition (PPI), with most of these processes believed to serve as markers
for one or more aspect of serotonin function.
| Frequency | Lifetime Use* | Duration | Period of Abstinence | Number, (M:F) | Comparisons+ | Depression | Anxiety | Hostility | Impulsiveness | Reference |
|---|---|---|---|---|---|---|---|---|---|---|
| 1.96 (2.44) | 53.82 (35.56) | 27.36 (NA) | >= 14 | 12 (12: 0) | ND | No | Yes | No | NA | Alting Von Geusau al. 2004-Men |
| 1.44 (1.2) | 38.78 (14.95) | 26.88 | >= 14 | 9 (0: 9) | ND | No | No | No | NA | Alting von Geusau et al. 2004-women |
| 3.5 (1.8) | 527.8 (734.5) | 51.6 (34.8) | 39 (22.6) | 32 (32: 0) | CU | NA | NA | Yes, but also PD | Yes (one scale) | Bond et al. 2004-Current |
| 7 (4.3) | 1105.85 (1923.03) | 42 (31.2) | 873.6 (655.2) | 32 (32: 0) | CU | NA | NA | Yes, but also PD) | Yes | Bond et al. 2004-Former |
| 3.5 (1.8) | 527.8 (734.5) | 51.6 (34.8) | 39 (22.6) | 32 (32: 0) | CU | No | No | No | No | Curran et al. 2003-current |
| 7 (4.3) | 1105.85 (1923.03) | 42 (31.2) | 873.6 (655.2) | 32 (32: 0) | CU | No | No | No | No | Curran et al. 2003-former |
| 2.35 (0.86) | 207.87 (21.98) | 32.64 (17.04) | >=3 | 29 (20:9) | CU | Yes D4, No D7** | NA | Yes D4, No D7** | NA | Curran et al 2004 |
| NA | 363.8 (532.7) | NA | >= 7 | 16 (7: 9) | ND, CU | NA | No | NA | No | Dafters et al. 2004-heavy |
| NA | 20.21 (10.5) | NA | >= 7 | 19 (10: 9) | ND, CU | NA | No | NA | No | Dafters et al. 2004-light |
| 3.1 (1.8) | 271.3 (454.4) | 56.6 (47.3) | 218.3 (374.9) | 60 (42: 18) | PD, Post | No | Yes | Yes | Yes, 1 scale | Daumann et al. 2004-Time 1 |
| 0.6 (1.2) | 21.1 (38.46) | 8.95 (2.11) | 206.1 (431.9) | 19 of 38; NR | PD, Pre | NA | No | No | No | Daumann et al. 2004-Time 2 |
| NA | 268 (614.3) | 55.2 (31.2) | 870 (612) | 16 (8: 8) | PD | Yes, BDI only | No | NA | NA | De Win et al. 2004-former |
| NA | 530 (621.1) | 55.2 (25.2) | 69 (72) | 23 (12: 11) | PD | No | No | NA | NA | De Win et al. 2004-heavy |
| NA | 28.6 (17.8) | 49.2 (31.2) | 108 (177) | 15 (9: 6) | PD | No | No | NA | NA | De Win et al. 2004-moderate |
| 8.6 (4.6) | 58.9 (29.5) | 20.5 (10) | 21 | 15 (15:0) | ND | Yes | NA | Yes, not all | NA | Gerra et al. 2003 |
| NR | NR (med <50) | NR | NR (med = 60 | 23 (8:15) | Light PD | No | No | No | Yes? | Halpern et al. 2004 |
| 2.3 (2.0) | 64.9 (122.9) | 27 (22.9) | 10.9 (10.5) | 26 (14: 12) | ND | Yes, BDI, SCID | Unclear, NA | NA | NA | Hanson and Luciana 2004 |
| 1.86 (2.73) | 259.4 (301.2) | 28.86 (18.86) | 341.9 (449.2) | 23 (18: 5) | ND | NA | NA | NA | Not Corr'd PPI | Heekeren et al. 2004 |
| NA | 10 (1-25) | NA | NA, > 2? | 6 (4: 2) | CU | No$ | No$ | NA | NA | Jacobsen et al. 2004 |
| NA | NR (med = 4 to 9) | 26.4 | 31.5 | 17 | CU | Yes | No | No | NA | McCardle et al. 2004 |
| NA | NA | NA | NA | 15 (15:0) | PD | Yes, state mood | NA | NA | NA | O'Regan et al. 2004 |
| Highest (4.4) | 273.4 (411) | NA | 75 (79) | 30 (15:15) | PD, ND | Yes, ND only | NA | NA | NA | Roiser and Sahakian 2004-Current |
| Highest (9.9) | 792.6 (1525.8) | NA | 1021 (1018) | 20 (10:10) | PD, ND | Yes, ND only | NA | NA | NA | Roiser and Sahakian 2004-Former |
| NA | 767.87 (579.04) | 54.52 (28.13) | 515 (495) | 31 (16:15) | PD, ND | Yes | Yes, ND only | No | NA | Thomasius et al. 2004-former |
| NA | 817.1 (1133.86) | 53.01 (32.45) | 23 (16.14) | 30 (15:15) | PD, ND | Yes | Yes, ND only | No | NA | Thomasius et al. 2004-current |
| 7.73 (5.13) | approx.1146) | 47.85 (29.73) | 1290.8 (814.9) | 66 (66:0) | None | Yes in MH | No | Yes in C group | No | Verheyden et al. 2003 |
*Use in tablets or occasions + CU = cannabis users: ND = Non-drug users: PD = Polydrug users. MH = Abstinent due to mental health changes, C = Abstinent due to circumstances. **D4 = Four days post-drug: D7 = A week (7 days) post-drug. $ POMS administered, apparently not analyzed; Depression and anxiety scores lower in Ecstasy users).
Formal measures of psychiatric illness, including clinician or observer-scored scales, were performed in four studies (de Win et al. 2004; Gerra et al. 2003; Halpern et al. 2004; Hanson and Luciana 2004). A sample of fifteen men who had contacted a drug abuse center and who were verifiably abstinent from Ecstasy for three weeks (lifetime consumption = 58.9 tablets) had higher MMPI Depression scores than fifteen age and gender-matched non-users drawn from the community (Gerra et al. 2003). Since people seeking information or help for drug abuse or dependence are expected to be in poorer mental health than non-drug users who have not sought help, these findings may be due at least in part to the nature of the sample. De Win and colleauges evaluated current ecstasy users (divided into heavy and moderate users) reporting lifetime consumption of 28.6 and 530 tablets, respectively, former Ecstasy users with a lifetime consumption of 268 tablets, and polydrug user controls with the Composite International Diagnostic Interview (CIDI), and failed to find any significant differences in CIDI scores between groups (de Win et al. 2004). Hanson and Luciana assessed 26 Ecstasy users reporting a lifetime use of about 65 (64.9) tablets for psychiatric illnesses with the Structured Clinical Interview for DSM-IV (SCID). The researchers attained diagnoses for eight participants. Most diagnoses were for unipolar depression, and all episodes occurred prior to the study, though it is unclear whether diagnoses predated onset of Ecstasy use. Hanson and Luciana also diagnosed four of the eight participants with additional anxiety disorders. However, it should be noted that 14 of the participants in this sample also received a DSM-IV diagnosis of MDMA-related substance abuse, as well as abuse or dependence disorders relating to other substances, while controls were excluded on the basis of diagnosis with substance abuse. A sample of 23 Ecstasy users and 16 very moderate polydrug user controls closely matched for low use of other drugs did not differ with respect to clinician-rated depression or anxiety as assessed through the Hamilton Depression Scale and Hamilton Anxiety Scale (Halpern et al. 2004). The 23 users had reported a lifetime use of 60 occasions. In addition, two Ecstasy users had to be excluded from the follow-up assessment in a combined cross sectional and longitudinal examination of psychological complaints in Ecstasy users and cannabis user controls (Daumann et al. 2004) because they had developed psychiatric symptoms. However, as previously described, these researchers also reported that cannabis use was more strongly tied to psychological problems than Ecstasy use. Research employing observer-scored and formal assessment of psychological well-being and presence of psychiatric illness seems to produce mixed results, with some studies reporting increased psychiatric diagnoses in Ecstasy users and controls, and some reporting no group differences.
Both studies assessing current mood state in Ecstasy users found that Ecstasy users' self- reported mood was similar to that of controls. A study comparing 17 Ecstasy users (lifetime consumption not reported; range = 2-over 30 times, median = 4 to 9 times) and 15 cannabis-user controls (McCardle et al. 2004) found that POMS scale scores were similar across both groups. Jacobsen and colleagues also failed to find any differences in POMS scale scores between a sample of six adolescent Ecstasy users reporting use of Ecstasy on ten occasions and six cannabis user controls.
One research team sought to assess presence of sad or negative mood through the Affective (mood related) Go/No Go procedure in current and former Ecstasy users, polydrug user and drug-naïve controls (Roiser and Sahakian 2004). Another study required Ecstasy users and drug-naïve controls to identify a previously shown face after viewing isolated features, varying the gender and mood expressed by the faces (Hanson and Luciana 2004). Both studies failed to find differences between Ecstasy users and controls, leading the authors to conclude that in fact Ecstasy users were not more attentive to or more likely to experience negative mood than controls. There was a trend for Ecstasy users to do less well than drug-naïve controls in recalling sad faces only (Hanson and Luciana 2004), and there was a trend for current Ecstasy users to show more rapid response to positive items in the Go/No Go procedure (Roiser and Sahakian 2004). However, there was also a trend for both current and former Ecstasy users to make fewer errors when first viewing sad items than either control group. Considering results from both studies, it seems regular Ecstasy use had little impact on the accessibility of either positive or negative moods, and trend-level findings are somewhat contradictory, suggesting greater accessibility for and recall of both positively and negatively valenced items.
In a study of male abstinent Ecstasy users, volunteers reported abstaining either because of self-described psychological problems (such as anxiety, paranoia, or depressed mood), or because of changes in life circumstance, such as a decline in quality of Ecstasy, no longer enjoying the drug, or no longer clubbing (Verheyden et al. 2003B). Men who said they stopped using Ecstasy because of mental health problems were five years younger than those who said they stopped using Ecstasy because of changes in circumstances, and they also reported earlier onset of Ecstasy use. An analysis taking age into account found that those abstaining for mental health reasons had significantly higher BDI scores than those abstaining for circumstantial reasons, and respondents abstaining from Ecstasy for mental health reasons had higher anxiety on the Hospital Anxiety and Depression (HADS) scale. Those abstaining for circumstantial reasons had higher scores on a measure of anger (the Multidimensional Anger Inventory, or MAI). However, there were no significant differences between the two groups of former Ecstasy users on the HADS depression scale. The two groups of abstinent Ecstasy users were further distinguished by the number of Ecstasy use parameters associated with elevated scores on measures of depressed mood (BDI), anxiety (STAI) and anger (MAI), with many correlations found between parameters of Ecstasy use and these measures in the "mental health" abstainers, but not in the "circumstantial" abstainers. In fact, the only measure correlated with Ecstasy use parameters in the "circumstantial" abstainers (average dose per use, frequency of use and physical aggression) was also associated with duration of cocaine use in the same group. These findings could either be considered evidence for the existence of a sub-set of Ecstasy users sensitive to effects of Ecstasy use on mood, but it could also be considered a sign that at least some Ecstasy users take the drug to self- medicate in response to other psychological problems. .
A thorough examination of all the results described above does not provide a simple understanding of the nature and strength of the relationship between repeated Ecstasy use and reductions in psychological well-being, as indicated by increased signs of depression or anxiety. It appears that repeated Ecstasy use as at least sometimes associated with increased signs of depression. On the other hand, few studies found Ecstasy use to be associated with a psychiatric diagnosis, and Ecstasy users did not seem to have a greater number of psychological complaints than controls. Given the findings reported in the longitudinal study, as well as previous findings drawn from a study in a large representative sample (Lieb et al. 2002), it seems equally likely that pre-existing conditions may lead some individuals to decide to use Ecstasy.
A report chiefly focusing on neurocognitive performance in Ecstasy users and controls also assessed self-reported anxious mood in 19 light Ecstasy users (lifetime consumption of 20.21 ± 10.5 tablets), 16 heavy Ecstasy users (lifetime consumption = 363.8 ± 532.7 tablets), 15 cannabis users and 19 non-drug using controls (Dafters et al. 2004). The researchers failed to find differences in anxiety levels for any of the groups, suggesting that regular use of Ecstasy and cannabis did not lead to an increase in anxiety. In another study, seventeen Ecstasy users (lifetime consumption not reported; median = 4 to 9 occasions, range = 2 to over 30 occasions) were not more anxious than 15 cannabis user controls (McCardle et al. 2004), as assessed by POMS anxiety score.
Previous and current examinations of psychological well-being in Ecstasy users continue to offer inconclusive findings suggesting a complex relationship between Ecstasy use and observer-rated or self-reported psychological problems. Only a longitudinal study similar to that carried out by Lieb and colleagues using measures of mood state or psychological function prior to onset of drug use will be able to distinguish attempts to self-medicate from problems caused by drug use. Though it may be the case that some individuals are sensitive to a mood-reducing effect associated with regular Ecstasy or psychostimulant use (i.e. Verheyden et al. 2003B), the bulk of recent research indicates that regular Ecstasy use is not uniquely associated with any particular psychological complaint. Rather, there is an association between the tendency to use drugs (cannabis or polydrug use) and psychological complaints. It remains unclear whether pre-existing psychological problems lead to increased drug use, or whether drug use leads to psychological problems.
Several parameters of Ecstasy use were associated with elevated negative mood and psychiatric problems, including lifetime consumption (de Win et al. 2004, log transformed number of tablets; Roiser and Sahakian 2004), frequency (Roiser and Sahakian 2004), duration (Curran et al. 2004, on Day 7), (de Win et al. 2004), and average dose per use (Thomasius et al. 2003). Daumann and colleagues found that at baseline, age of onset of Ecstasy use was positively correlated with some increased SCL- 90-R scores (obsessive-compulsive, interpersonal sensitivity, depression and paranoid ideation). This may be similar to findings of earlier onset of Ecstasy use in former users who abstained from further use because of mental health problems (Verheyden et al. 2003B). Analyses controlling for the effects of frequency of use failed to find a relationship between lifetime consumption, suggesting that frequency of use may mediate the relationship between lifetime consumption and elevated BDI scores. Thomasius and colleagues found that SCL-90-R scores for somatization, anxiety, paranoid ideation and depression scores were predicted by average dose per use (Thomasius et al. 2003). Given these associations, it is possible that one or more aspect of Ecstasy use, or other factors correlated with the ecstasy use parameters described above, may elevate risk of experiencing negative mood states or psychological problems. On the other hand, a consideration and comparison of previous and current reports suggests that drug-use variables are not always tightly linked with findings of psychological problems. For instance, lifetime Ecstasy consumption ranged from 49.6 tablets (Morgan 1998) to 270 tablets (Gamma et al. 2000B) in studies in the IB reporting at least one positive finding with respect to mood or psychological problems. Though minimal doses in current studies are lower (21.1 for Daumann et al 2004-Time 2), maximum doses can be considerably higher (1105 tablets, reported in Bond et al. 2003), and six of the ten groups reporting lifetime exposure are higher than the maximum lifetime exposure listed in the IB. Likewise, frequency of use and duration of use appear similar in both groups of studies. Time since last use is unlikely to be a factor, since former users were more likely than current ones to have higher depressed mood, anxiety or other psychological complaints (de Win et al. 2004; Roiser and Sahakian 2004). Taking all this information into account, it appears that differences in drug use cannot readily or uniquely explain differences in findings.
However, all studies reviewed here that contain polydrug using or cannabis using controls save one also detected relationships between use parameters for one or more other drug and negative mood states or psychological problems, and the only report that failed to find this relationship either did not perform analyses to detect it or did not report findings of such analyses. This strongly supports a more general association between polysubstance abuse and depression, anxiety and other psychological problems. Substances associated with a decline in psychological health included cannabis (Daumann et al. 2004), amphetamine (Daumann et al. 2004, baseline; Thomasius et al. 2003), and amyl nitrate (Roiser and Sahakian) all were associated with one or more measure of depression or psychological problems. Curran and colleagues failed to find any differences when comparing Ecstasy users with cannabis user controls. Since these studies are all retrospective, it is difficult to tell whether reduced psychological well- being in study respondents arose as a result of repeated use of the substances listed above, or whether substance use is a mark of pre-existing conditions affecting mood and psychological well-being.
No relationship was found between serotonin transporter density, as measured imaging with the ligand Beta-CIT, and self-reported depression (de Win et al. 2004). Though criticism has been leveled at the accuracy of assessments made with Beta-CIT (Kish 2003; 2002), Thomasius and colleagues used a more reliable radioactive drug or ligand, McN5652, and they also failed to find a relationship between serotonin transporter density, which was slightly lower in current Ecstasy users, and depression or other negative mood states, found to be higher in both current and former Ecstasy users (Thomasius et al. 2003). Findings drawn from a study of 32 current and 32 former Ecstasy users (lifetime consumption of current and former, 527.8 and 1105.8 tablets, respectively) and cannabis-user controls (Curran et al. 2003) also fails to support a simple association between a presumed indicator of serotonin system function and decline in psychological well-being (Curran et al. 2003). This study found that current and former Ecstasy users were not more sensitive to the mood-altering effects of tryptophan depletion or augmentation than cannabis user controls. Hence even if regular Ecstasy use is associated with increased depression or anxiety, this increase cannot be considered an indirect marker for changes in the serotonin system.
Anger and Aggression
Researchers continue to assess Ecstasy users on aggressiveness, on the assumption that
reduced serotonin levels will be associated with increased aggression.
Previous research on the relationship between repeated Ecstasy use and aggression
reviewed in the 2002 update to the IB had proved inconclusive (see Daumann et al. 2001;
Gerra et al. 2002; Gerra et al. 2001). Some researchers reported that Ecstasy users had
transient elevations in self-reported aggression (Gerra et al. 2000), and that they
responded more aggressively than non-drug using controls in an aggression-eliciting task
(Gerra et al. 2002). On the other hand, a different research team reported that aggression
in Ecstasy users was more strongly associated with cannabis use than with Ecstasy use
(Gouzoulis-Mayfrank et al. 2002).
From 2003 to early 2004, four studies published by the same team in England
investigated aggression and anger in Ecstasy users (Bond et al. 2003; Curran et al. 2004;
2003; Verheyden et al. 2003A). Two studies focused on anger, self-reported aggression
and cognitive biases related to anger or aggression in Ecstasy users (Curran et al 2004;
Bond et al. 2003), and another study assessed anger in abstinent Ecstasy users
(Verheyden et al. 2003A). Additionally, trait aggression was correlated with parameters
of Ecstasy use in a study using the same sample studied by Bond and colleagues (Curran
et al. 2003). One of these studies study compared male and female Ecstasy users with
cannabis user controls (Curran et al. 2004), and investigated angry cognitive bias four
days after Ecstasy use, with angry cognitive bias referring to an increase in attention to
anger or aggression-related stimuli. Bond and colleagues examined angry cognitive bias
in all-male samples of current Ecstasy users that had abstained from Ecstasy for at least
three weeks, former Ecstasy users that had been abstinent for at least a year, and polydrug
using controls (Bond et al. 2003).
Curran and colleagues (2004) reported that four days after Ecstasy use, 29 male and
female Ecstasy users with a lifetime consumption of 207.9 tablets were quicker to
recognize aggressive sentences than non-aggressive ones, but this difference was no
longer apparent seven days after use. There were no increased attention to aggression-
related material was seen in 32 cannabis user controls four days attending a club or dance
event. It is possible that increased attention to anger or aggression is a sub-acute effect of
Ecstasy use rather than a long-term effect. When Bond and colleagues used a similar
measure (differing only in its reliance on stories instead of sentences) to assess cognitive
bias for anger in all-male samples of Ecstasy users and cannabis-user controls, they failed
to find any differences between 32 current Ecstasy users (lifetime consumption of 527.8
tablets, time since last use = 39 days), 32 former Ecstasy users (lifetime consumption =
1105.8 tablets, time since last use = 873.6 days) and 32 cannabis using controls (Bond et
al. 2003). In their paper, Bond and colleagues stated that all three groups of men showed
a bias for perceiving anger when their scores were compared with other samples, leading
the researchers to conclude that substance use (and not Ecstasy use per se) was associated
with readiness to perceive and attend to anger or aggression. Current and former Ecstasy
users in this study had similar scores on one measure of anger (the Multidimensional
Anger Inventory), though former Ecstasy users scored higher on specific scales of the
Aggression Questionnaire (AQ), like the Hostility scale. All groups felt more sedated
and less alert after tryptophan depletion and all groups produced more aggressive or
angry story endings under tryptophan depletion, with current and former Ecstasy users no
more or less sensitive to this indirect means of manipulating brain serotonin than
controls. Curran and colleagues reported a negative association between time since last
use and AQ hostility scales in what is liable to be the same sample of Ecstasy users and
cannabis user controls (Curran et al. 2003), with decreasing Hostility scores associated
with longer periods of abstinence from Ecstasy.
The same team of researchers also investigated mood and reasons for abstinence in a
group of 66 male Ecstasy users with an estimated lifetime consumption of 1146 tablets
(Verheyden et al. 2003A). The sample almost certainly includes individuals assessed in
the second assessment of angry bias (Bond et al. 2003), since subjects were all screened
for enrollment in this study. Men who abstained from Ecstasy due to changed life
circumstances had higher AQ scores than men who abstained from Ecstasy use for
mental health reasons. Former users abstaining for mental health reasons experienced
anger for a longer period of time than those who abstained as a result of life
circumstances. Without a control group, it cannot be said that either group had scores
that differed from other populations. Instead, the findings point out differences among
groups of former Ecstasy users, indicating that not all former users have the same levels
of trait aggressiveness.
Following the program of research they began in 1998, Gerra and colleagues recently
published more studies investigating degree of aggression and hostility in samples of
male Ecstasy users seeking information or treatment from a drug abuse clinic. In a recent
study examining neuroendocrine responses to stress in Ecstasy users, Gerra and
colleagues reported that three weeks after abstinence from Ecstasy use verified through
urinary drug screening, 15 men reporting lifetime Ecstasy use of 58.9 occasions had
higher Direct Aggression and Guilt subscales on the Buss-Durkee Hostility Inventory
(BDHI, Italian translation) than 15 gender-matched controls drawn from the community
(Gerra et al. 2003). However, Ecstasy users' scores on the rest of the scale were not
significantly different from those of controls.
Since the SCL90 and SCL90R have a Hostillity sub-scale, information on degree of
aggression or hostility can also be gathered from the four research teams that employed
the SCL90R in their studies (Alting von Geusau et al. 2004; Curran et al. 2003; Daumann
et al. 2004; Thomasius et al. 2003). Three of four published reports found no differences
in Hostility scores for Ecstasy users and controls (Alting von Geusau et al. 2004; Curran
et al. 2003; Thomasius et al. 2003), while in one case, Ecstasy users had higher Hostility
scores than non-drug users on initial examination, but not when assessed again at a
follow-up performed 18 months later (Daumann et al. 2004). Instead, it appeared that
cannabis use was more closely related to increases on the Hostility and all other SCL90R
sub-scale scores. Interestingly, a study reporting higher anxiety in male, but not female,
Ecstasy users did not find higher Hostility scores in male Ecstasy users (Alting von
Geusau et al. 2004); as with all other measures of psychological well-being, female
Ecstasy users and mostly drug-naïve controls did not differ on Hostility scores either. In
addition to these studies, a study that assessed angry mood with the POMS failed to find
differences in mood between 15 Ecstasy users (lifetime consumption not listed; median =
4 to 9 occasions) and 17 controls (McCardle et al. 2004).
Most of the recently reviewed studies failed to find evidence in support of an association
between Ecstasy use and increased anger, aggression or hostility. It seems more likely
that elevated aggression or anger is associated with one or more pre-existing factors, and
these, in turn, may be related to substance use. Note that one study explicitly noting
increased attention to anger-related stimuli in all drug using samples (Bond et al. 2003).
However, four of the studies reviewed were performed by the same team (Bond et al.
2003; Curran et al. 2004; 2003; Verheyden et al. 2003A), and three of these studies used
overlapping or identical samples (Bond et al. 2003; Curran et al. 2003; Verheyden et al.
2003A). One of the other studies not performed by this group did find evidence for at
least some increases in aggressiveness (Gerra et al. 2003). However, most of the studies
using the SCL90R also did not find an increase in aggressiveness or anger in Ecstasy
users. In conclusion, it seems that regular Ecstasy use is not very strongly associated
with increased aggressiveness or anger, making it very unlikely that human volunteers in
clinical trials of MDMA will experience long-term increases in anger or aggressiveness.
However, taking findings reported in Currran et al. (2004) into consideration, it is
possible that transient increases in attention to anger or aggression may be among the
sub-acute effects experienced a few days after drug administration, perhaps akin to the
irritability and anxiety listed by some participants in previous trials (see the IB; Liechti et
al. 2001).
| Function measured | % papers assessed? | % signif | Sig. | Qualified Sig, | NS |
|---|---|---|---|---|---|
| Immediate memory | 8/13 | 6/24 (25%) | 1 | 5 | 2 |
| Delayed memory | 7/13 | 9/27 (33%) | 1 | 4 | 2 |
| Verbal memory | 8/13 | 19/48 (40%) | 1 | 6 | 1 |
| Visual memory | 4/13 | 3/14 (21%) | 0 | 2* | 2 |
| Working memory | 13/13 | 16/57 (28%) | 3 | 5 | 5 |
| Executive Function | 7/13 | 16/50 (32%)** | 1 | 3* | 3 |
| Attention | 6/13 | 8/30 (26%) | 2 | 1 | 3 |
| Information processing | 7/13 | 1/14 (7%) | 0 | 1 | 3 |
| Psychomotor speed | 4/13 | 2/18 (11%) | 0 | 2 | 2 |
*Trend reported for at one paper. **27 additional tests were significant in men only -
Domains of cognitive function assessed include attention (Curran et al. 2003; Dafters et al. 2004; Gouzoulis-Mayfrank et al. 2003; Hanson and Luciana 2004; Jacobsen et al. 2004; Thomasius et al. 2003), executive function (Back-Madruga et al. 2004; Curran et al. 2003; Gouzoulis-Mayfrank et al. 2003; Halpern et al. 2004; Hanson and Luciana; Thomasius et al. 2003; Alting Von Geusau et al. 2004), memory (Back-Madruga et al. 2004; Curran et al. 2003; Daumann et al. 2003A; Daumann et al. 2003B; Gouzoulis- Mayfrank et al. 2003; Halpern et al. 2004; Hanson and Luciana 2004; Thomasius et al. 2003; Wareing et al. 2004), and other functions, such as information processing speed (Back-Madruga et al. 2004; Halpern et al. 2004; Thomasius et al. 2003). While most of the studies detected differences between Ecstasy users and controls in cognitive function, the majority of the studies qualified their findings, noting that differences in Ecstasy use patterns, use of other drugs, or other variables, such as diagnosis with a drug abuse disorder, may also explain some of the differences in cognitive function. None of the studies in Ecstasy users imply that exposure to a small number of doses of MDMA produce the same impairments in cognitive function seen after repeated Ecstasy use in uncontrolled settings, and a number of studies even suggest that the risk of impaired cognitive function is negligible in light or moderate Ecstasy users. Extrapolating from these findings suggests that the risk of impaired cognitive function associated with taking part in a clinical trial of MDMA is minimal. As already noted in the discussion of clinical trials, data presented from prospective studies of cognitive function in people taking MDMA in controlled settings have so far failed to detect any cognitive deficits Studies in Ecstasy users only serve to inform an estimation of the upper limits of potential risk in these studies.
| Reference | Test | Sig, Controls | All controls | Other compare? | Type other | Lifetime consumption (Entire Sample) | Time since last use |
|---|---|---|---|---|---|---|---|
| Alting Von Geusau et al. 2004-men | D-T %Corr(vis search) | <0.05, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | D-T cost ms (vis search) | <0.05, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | D-T Cost%(vis search) | NS, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | D-T Mixing %(vis search) | NS, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | D-T Mixing ms(vis search) | NS, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | D-T RT(vis search) | <0.01, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | D-T RT(vis search) | <0.01, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | L-G %Corr (vis choice) | NS, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | L-G Cost ms (vis choice) | <0.01, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | L-G Cost% (vis choice | NS, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | L-G Mix % (vis choice) | NS, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | L-G Mix ms (vis choice) | NS, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | L-G RT (vis choice) | <0.05, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | E-F %Corr (vis inhib) | NS, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | E-F %Corr (vis inhib) | NS, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | E-F int cost (vis inhib) | NS, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | E-F int cost 2 (vis inhib) | NS, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | E-F RT (vis inhib) | NS, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | Stop signal (vis cue inhibit) | NS, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | TOL-Excess moves | <0.01, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | TOL-Plan time | <0.01, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | TOL-Total moves | <0.01, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | TOL-total time | NS, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | WCST-# corr ambig | NS, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | WCST-#persev | <0.05, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | WCST-ambig err | <0.05, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | WCST-concept level | <0.05, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-men | WCST-tot corr | NS, ND | ND | No | NA | 53.85 +/- 35.56 | NA |
| Alting Von Geusau et al. 2004-women | D-T %Corr(vis search) | NS, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | D-T cost ms (vis search) | NS, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | D-T Cost%(vis search) | <0.05, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | D-T Mixing %(vis search) | NS, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | D-T Mixing ms(vis search) | NS, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | D-T RT(vis search) | NS, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | L-G %Corr (vis choice) | NS, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | L-G Cost ms (vis choice) | NS, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | L-G Cost% (vis choice | NS, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | L-G Mix % (vis choice) | NS, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | L-G Mix ms (vis choice) | NS, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | L-G RT (vis choice) | NS, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | E-F %Corr (vis inhib) | <0.05, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | E-F int cost (vis inhib) | NS, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | E-F int cost 2 (vis inhib) | <0.05, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | E-F RT (vis inhib) | NS, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | Stop signal (vis cue inhibit) | NS, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | TOL-Excess moves | NS, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | TOL-Plan time | NS, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | TOL-Total moves | NS, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | TOL-total time | NS, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | WCST-# corr ambig | NS, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | WCST-#persev | NS, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | WCST-ambig err | NS, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | WCST-concept level | NS, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Alting Von Geusau et al. 2004-women | WCST-tot corr | NS, ND | ND | No | NA | 38.78 +/-14.95 | NA |
| Back-Madruga et al 2004 | ACT (trigrams) | Trend, ND | ND | Yes, NS | Moderate, heavy | 74.6 +/- 100.6 oc | 178 +/- 178 |
| Back-Madruga et al 2004 | FAS | NS, ND | ND | Yes, NS | Moderate, heavy | 74.6 +/- 100.6 oc | 178 +/- 178 |
| Back-Madruga et al 2004 | Stroop C | NS, ND | ND | Yes, NS | Moderate, heavy | 74.6 +/- 100.6 oc | 178 +/- 178 |
| Back-Madruga et al 2004 | WCST categories | NS, ND | ND | Yes, NS | Moderate, heavy | 74.6 +/- 100.6 oc | 178 +/- 178 |
| Back-Madruga et al 2004 | WCST concept level | NS, ND | ND | Yes, NS | Moderate, heavy | 74.6 +/- 100.6 oc | 178 +/- 178 |
| Back-Madruga et al 2004 | WCST errors | NS, ND | ND | Yes, NS | Moderate, heavy | 74.6 +/- 100.6 oc | 178 +/- 178 |
| Back-Madruga et al 2004 | WCST fail set | NS, ND | ND | Yes, NS | Moderate, heavy | 74.6 +/- 100.6 oc | 178 +/- 178 |
| Back-Madruga et al 2004 | WCST persevere | NS, CU | CU | Yes, NS | Moderate, heavy | 74.6 +/- 100.6 oc | 178 +/-178 |
| Curran et al. 2003-Current | FAS-categories | NS, CU | CU | No | NA | 527.8 +/- 734.5 | 39 +/- 22.6 |
| Curran et al. 2003-Current | FAS-letters | NS, CU | CU | No | NA | 1105.85 +/- 1923.03 | 39 +/- 22.6 |
| Curran et al. 2003-Former | FAS-categories | NS, CU | CU | No | NA | 1105.85 +/- 1923.03 | 873.6 +/-655.2 |
| Curran et al. 2003-Former | FAS-letters | NS, CU | CU | No | NA | 1105.85 +/- 1923.03 | 873.6 +/-655.2 |
| Gouzoulis-Mayfrank et al. 2003-light | Plan-A-Day | NS, CU | CU | No | NA | 39.5 +/- 18 | 242.3 +/-401.4 |
| Gouzoulis-Mayfrank et al. 2003-heavy | Plan-A-Day | NS, CU | CU | No | NA | 503.2 +/- 555.5 | 194.8 +/-394.8 |
| Halpern et al. 2004 | FAS-Words | NS, Lite PD | Lite PD | Yes, NS | Moderate, heavy | med = 60 oc | Med appr. 62.4 |
| Halpern et al. 2004 | FAS-Perseveration | NS, Lite PD | Lite PD | Yes, NS | Moderate, heavy | med = 60 oc | Med appr. 62.4 |
| Halpern et al. 2004 | R-SAT Total 1 | NS, Lite PD | Lite PD | Yes, <0.01 | Moderate, heavy | med = 60 oc | Med appr. 62.4 |
| Halpern et al. 2004 | R-SAT Tot no first page | NS, Lite PD | Lite PD | Yes, <0.01 | Moderate, heavy | med = 60 oc | Med appr. 62.4 |
| Halpern et al. 2004 | WCST-Categories | NS, Lite PD | Lite PD | Yes, <0.05 | Moderate, heavy | med = 60 oc | Med appr. 62.4 |
| Halpern et al. 2004 | WCST-persevere | NS, Lite PD | Lite PD | Yes, NS | Moderate, heavy | med = 60 oc | Med appr. 62.4 |
| Hanson and Luciana 2004 | FAS Errors | <0.05 | ND | Yes, NS | Drug abuse diagnosis | 64.9 +/- 122.9 oc | 76.3 +/-73.5 |
| Hanson and Luciana 2004 | FAS Inaprop word | NS, ND | ND | Yes, NS | Drug abuse diagnosis | 64.9 +/- 122.9 oc | 76.3 +/-73.5 |
| Hanson and Luciana 2004 | FAS persevere | NS, ND | ND | Yes, NS | Drug abuse diagnosis | 64.9 +/- 122.9 oc | 76.3 +/-73.5 |
| Hanson and Luciana 2004 | FAS total | NS, ND | ND | Yes, <0.05 | Drug abuse diagnosis | 64.9 +/- 122.9 oc | 76.3 +/-73.5 |
| Thomasius et al. 2003-current users | WCST-failure maintain set | NS, PD & ND | PD, ND | No | NA | 817.1 +/-1133.9 | 23 +/- 16.14 |
| Thomasius et al. 2003-current users | WCST-number categories | NS, PD & ND | PD, ND | No | NA | 817.1 +/-1133.9 | 23 +/- 16.14 |
| Thomasius et al. 2003-current users | WCST-persevere | NS, PD & ND | PD, ND | No | NA | 817.1 +/-1133.9 | 23 +/- 16.14 |
| Thomasius et al. 2003-former users | WCST-failure maintain set | NS, PD & ND | PD, ND | No | NA | 757.9 +/- 579 | 515 +/-495 |
| Thomasius et al. 2003-former users | WCST-number categories | NS, PD & ND | PD, ND | No | NA | 757.9 +/- 579 | 515 +/-495 |
| Thomasius et al. 2003-former users | WCST-persevere | NS, PD & ND | PD, ND | No | NA | 757.9 +/- 579 | 515 +/-495 |
CU = Cannabis users, ND = Drug-naive (non-drug users), PD = Polydrug users, NS = Not significant.
While there is some evidence for an association between parameters of Ecstasy use and impaired executive function, findings are inconclusive. Upon reviewing all papers, it appears that reduced executive function is unrelated to lifetime Ecstasy consumption, as several studies that failed to find any differences had notably higher levels of lifetime Ecstasy consumption than studies finding lower scores on measures of executive function (for example, compare Thomasius et al. 2003 and Hanson and Luciana 2004). Halpern and colleagues found an association between log-transformed lifetime Ecstasy consumption (in occasions) and a WCST score, but they failed to find an association between lifetime Ecstasy consumption and R-SAT performance. Likewise, while Curran and colleagues found an association between average Ecstasy dose per use and a verbal fluency score in former users, they failed to detect the same relationship in current users.
There are some difficulties with interpreting study findings. The sample size used by Hanson and colleagues is within the range of commonly used samples for neurocognitive studies in Ecstasy users. However, controls may not have been completely matched on education, since all controls were university students, whereas slightly less than half of the Ecstasy users were students, with the rest being recruited by friends. Only one study previous to that of Alting Von Geusau and colleagues has reported gender differences in cognitive function in Ecstasy users (Bolla et al. 1998). While this study also found women less affected than men, it is notable that no other studies have reported similar gender effects. Since men in this sample had higher rates of Ecstasy consumption as assessed through several parameters of drug use (lifetime consumption as noted above, frequency of use, men = 1.96 days per month, women 1.44 days per month), it is possible that the apparent gender effect instead reflects differences in patterns of Ecstasy use. As well, the number of Ecstasy-using men are more well-matched in number with controls (12 versus 17), whereas the number of women Ecstasy users is smaller (9 versus 21 controls), and thus more vulnerable to apparent differences relating to intersubject variation.
Two of the studies that failed to find any differences in executive function employed polydrug user or cannabis user controls (Curran et al. 2003; Thomasius et al. 2003). In comparison, it is notable that at least some of the previous reports finding decrements in executive function failed to employ polydrug user controls (e.g. Bhattachary and Powell 2001; Wareing et al. 2000) or did not use polydrug user controls well-matched for substance use (e.g. Heffernan et al. 2001). However, it should also be noted that one of the studies that found impaired executive function in Ecstasy users carefully matched samples for use of other drugs (Halpern et al. 2004). Considering findings from all recent studies, it seems that a factor associated with Ecstasy use and use of other drugs might be associated with performance on executive function tasks. Whether repeated Ecstasy use itself or some other factor is responsible for the association is less clear.
Earlier reviews of the literature tended to find a slightly greater number of studies finding associations between regular Ecstasy use and executive function (see the IB and the 2002 update to the IB). Findings in recent publications support a link between Ecstasy use and lower scores on measures of executive function, but they also raise questions about the nature of this link. It may be the case that in addition to Ecstasy use itself, other factors, such as use of other drugs, or a pre-existing condition associated with polysubstance abuse, may also be associated with reductions in executive function. The two studies that were most careful in controlling for the effects of substance use generated conflicting findings (Halpern et al. 2004; Thomasius et al. 2003), making it difficult to rule out either Ecstasy use, or other factors, as related to reductions in executive function. Recent publications offer support for a possible relationship between lifetime Ecstasy consumption, or factors associated with lifetime Ecstasy consumption, and impaired executive function, and they also point toward an association between impaired executive function and substance use more generally. An examination of these findings, along with past findings supports the risk estimation stated in the IB. Human volunteers in clinical trials may face a risk of impaired executive function, but the risk is minimal.
| Reference | Test | Sig, Controls | All controls | Other compare? | Type other | Lifetime consumption (Entire sample) | Time since last use | |
| Back-Madruga et al 2004 | AVLT 5 | NS, ND | ND | Yes, NS | Moderate, heavy | 74.6 +/- 100.6 oc | 178 +/- 178 | |
| Back-Madruga et al 2004 | AVLT 7 | NS, ND | ND | Yes, NS | Moderate, heavy | 74.6 +/- 100.6 oc | 178 +/- 178 | |
| Back-Madruga et al 2004 | AVLT8 | NS, ND | ND | Yes, NS | Moderate, heavy | 74.6 +/- 100.6 oc | 178 +/- 178 | |
| Back-Madruga et al 2004 | AVLTDelayed (Recog) | NS, ND, trend* | ND | Yes, NS | Moderate, heavy | 74.6 +/- 100.6 oc | 178 +/- 178 | |
| Back-Madruga et al 2004 | Logical Memory | NS, ND | ND | Yes, NS | Moderate, heavy | 74.6 +/- 100.6 oc | 178 +/- 178 | |
| Back-Madruga et al 2004 | Logical Memory 1 | NS, ND | ND | Yes, NS | Moderate, heavy | 74.6 +/- 100.6 oc | 178 +/- 178 | |
| Curran et al. 2003-Current | Prose Recall-Immediate | NS, CU | CU | No | NA | 527.8 +/- 734.5 | 39 +/- 22.6 | |
| Curran et al. 2003-Current | Prose Recall-Delayed | NS, CU | CU | No | NA | 527.8 +/- 734.5 | 39 +/- 22.6 | |
| Curran et al. 2003-Current | Reminders-1 | NS, CU | CU | No | NA | 527.8 +/- 734.5 | 39 +/- 22.6 | |
| Curran et al. 2003-Current | Reminders 3-1 | NS, CU | CU | No | NA | 527.8 +/- 734.5 | 39 +/- 22.6 | |
| Curran et al. 2003-Current | Reminders-Delayed | NS, CU | CU | No | NA | 527.8 +/- 734.5 | 39 +/- 22.6 | |
| Curran et al. 2003-Former | Prose Recall-Immediate | Trend = 0.08, CU | CU | No | NA | 1105.85 +/- 1923.03 | 873.6 +/-655.2 | |
| Curran et al. 2003-Former | Prose Recall-Delayed | Trend = 0.09, CU | CU | No | NA | 1105.85 +/- 1923.03 | 873.6 +/-655.2 | |
| Curran et al. 2003-Former | Reminders-1 | NS, CU | CU | No | NA | 1105.85 +/- 1923.03 | 873.6 +/-655.2 | |
| Curran et al. 2003-Former | Reminders 3-1 | NS, CU | CU | No | NA | 1105.85 +/- 1923.03 | 873.6 +/-655.2 | |
| Curran et al. 2003-Former | Reminders-Delayed | NS, CU | CU | No | NA | 1105 +/- 1923.03 | 873.8 +/-652.2 | |
| Gouzoulis-Mayfrank et al. 2003-light | German-Turkish (word list)-Immediate | NS, CU | CU | No | NA | 39.5 +/- 18 | 242.3 +/-401.4 | |
| Dafters et al. 2004-low use | Free Recall | <0.001 ND, NS CU | CU, ND | No | NA | 20.21 +/- 10.5 | >=7 +/- NA | |
| Dafters et al. 2004-low use | Story Immediate | <0.05 ND, NS CU | CU, ND | No | NA | 20.21 +/- 10.5 | >=7 +/- NA | |
| Dafters et al. 2004-low use | Story Delayed | <0.05 ND, NS CU | CU, ND | No | NA | 20.21 +- 10.5 | >=7 +/- NA | |
| Dafters et al. 2004-high use | Free recall | <0.001 ND, NS CU | CU, ND | No | NA | 363.8 +/-532.7 | >=7 +/- NA | |
| Dafters et al. 2004-high use | Story Immeidate | <0.05 ND, NS CU | CU, ND | No | NA | 363.8 +/-532.7 | >=7 +/- NA | |
| Dafters et al. 2004-high use | Story Delayed | <0.05 ND, NS CU | CU, ND | No | NA | 363.8 +/-532.7 | >=7 +/- NA | |
| Gouzoulis-Mayfrank et al. 2003-light | German-Turkish (word list)-delayed | NS, CU | CU | No | NA | 39.5 +/- 18 | 242.3 +/-401.4 | |
| Gouzoulis-Mayfrank et et al. 2003-light | Library (like RBMT-story)-immediate | NS, CU | CU | No | NA | 39.5 +/- 18 | 242.3 +/-401.4 | |
| Gouzoulis-Mayfrank et al. 2003-light | Library (like RBMT Story)-delayed | NS, CU | CU | No | NA | 39.5 +/- 18 | 242.3 +/-401.4 | |
| Gouzoulis-Mayfrank et al. 2003-heavy | German-Turkish (word list)-Immediate | NS, CU | CU | No | NA | 503.2 +/- 555.5 | 194.8 +/-394.8 | |
| Gouzoulis-Mayfrank et al. 2003-heavy | German-Turkish (word list)-delayed | <0.05, CU | CU | No | NA | 503.2 +/- 555.5 | 194.8 +/-394.8 | |
| Gouzoulis-Mayfrank et al. 2003-heavy | Library (like RBMT Story)-immediate | <0.05, CU | CU | No | NA | 503.2 +/- 555.5 | 194.8 +/-394.8 | |
| Gouzoulis-Mayfrank et al. 2003-heavy | Library (like RBMT Story)-Delayed | <0.05, CU | CU | No | NA | 503.2 +/- 555.5 | 194.8 +/-394.8 | |
| Halpern et al. 2004 | Logical Memory-Immediate | NS, Lite PD | Lite PD | Yes, NS | Moderate, heavy | med = 60 oc | Med appr. 62.4 | |
| Halpern et al. 2004 | Logical Memory-Delayed | NS, Lite PD | Lite PD | Yes, NS | Moderate, heavy | med = 60 oc | Med appr. 62.4 | |
| Halpern et al. 2004 | Verbal Paired Associates-Immediate | NS, Lite PD | Lite PD | Yes, NS | Moderate, heavy | med = 60 oc | Med appr. 62.4 | |
| Halpern et al. 2004 | Verbal Paired Associates-Delayed | NS, Lite PD | Lite PD | Yes, NS | Moderate, heavy | med = 60 oc | Med appr. 62.4 | |
| Halpern et al. 2004 | CVMT (like AVLT) Trial 1 | NS, Lite PD | Lite PD | Yes, NS | Moderate, heavy | med = 60 oc | Med appr. 62.4 | |
| Halpern et al. 2004 | CVMT Trial 5 | NS, Lite PD | Lite PD | Yes, NS | Moderate, heavy | med = 60 oc | Med appr. 62.4 | |
| Halpern et al. 2004 | CVMT 1-5 Total | NS, Lite PD | Lite PD | Yes, NS | Moderate, Heavy | med = 60 oc | Med appr. 62.4 | |
| Halpern et al. 2004 | CVMT Trial B | NS, Lite PD | Lite PD | Yes, NS | Moderate, Heavy | med = 60 oc | Med appr. 62.4 | |
| Hanson and Luciana 2004 | Story Recall-Immediate | <0.001, ND | ND | Yes, <0.01 | Drug abuse diagnosis | 64.9 +/- 122.9 oc | 76.3 +/-73.5 | |
| Hanson and Luciana 2004 | Story Recall-Delay | <0.001, ND | ND | Yes, <0.01 | Drug abuse diagnosis | 64.9 +/- 122.9 oc | 76.3 +/-73.5 | |
| McCardle et al. 2004 | RAVLT-Immediate | NS, CU | CU | No | NA | med 4 to 9 oc | 31.5 +/-NA | |
| McCardle et al. 2004 | RAVLT-5 | <0.05, CU | CU | No | NA | med to 9 oc | 31.5 +/-NA | |
| McCardle et al. 2004 | RAVLT-7 | NS, CU | CU | No | NA | med 4 to 9 oc | 31.5 +/-NA | |
| McCardle et al. 2004 | RAVLT-Delayed | <0.01, CU | CU | No | NA | med 4 to 9 oc | 31.5 +/-NA | |
| McCardle et al. 2004 | RAVLT-Learning rate | NS, CU | CU | No | NA | med 4 to 9 oc | 31.5 +/-NA | |
| Thomasius et al. 2003-current users | AVLT 6 (new list) | NS, PD & ND | PD, ND | No | NA | 817.1 +/-1133.9 | 23 +/- 16.14 | |
| Thomasius et al. 2003-current users | AVLT 7 | NS, PD & ND | PD, ND | No | NA | 817.1 +/-1133.9 | 23 +/- 16.14 | |
| Thomasius et al. 2003-current users | AVLT 7-5 | NS, PD & ND | PD, ND | No | NA | 817.1 +/-1133.9 | 23 +/- 16.14 | |
| Thomasius et al. 2003-current users | AVLT 8-7 | NS, PD & ND | PD, ND | No | NA | 817.1 +/-1133.9 | 23 +/- 16.14 | |
| Thomasius et al. 2003-current users | AVLT-1 | NS, PD & ND | PD, ND | No | NA | 817.1 +/-1133.9 | 23 +/- 16.14 | |
| Thomasius et al. 2003-current users | AVT-5 | NS, PD & ND | PD, ND | No | NA | 817.1 +/-1133.9 | 23 +/- 16.14 | |
| Thomasius et al. 2003-current users | AVTL sum 1 to 5 | NS, PD & ND | PD, ND | No | NA | 817.1 +/-1133.9 | 23 +/- 16.14 | |
| Thomasius et al. 2003-current users | AVLT 8 (delayed) | NS, PD & ND | PD, ND | No | NA | 817.1 +/-1133.9 | 23 +/- 16.14 | |
| Thomasius et al. 2003-current users | AVLT 5-1 (learning | NS, PD & ND | PD, ND | No | NA | 817.1 +/-1133.9 | 23 +/- 16.14 | |
| Thomasius et al. 2003-current users | LGT-3 telephone | NS, PD & ND | PD, ND | No | NA | 817.1 +/-1133.9 | 23 +/- 16.14 | |
| Thomasius et al. 2003-current users | RBMT-Delayed recall | NS, PD & ND | PD, ND | No | NA | 817.1 +/-1133.9 | 23 +/- 16.14 | |
| Thomasius et al. 2003-current users | RBMT-Im-Del | NS, PD & ND | PD, ND | No | NA | 817.1 +/-1133.9 | 23 +/- 16.14 | |
| Thomasius et al. 2003-current users | RBMT-Immediate recall | NS, PD & ND | PD, ND | PD, ND | No | NA | 817.1 +/-1133.9 | 23 +/- 16.14 |
| Thomasius et al. 2003-former users | AVLT 6 (new list) | <0.01, ND, NS PD | PD, ND | No | NA | 757.9 +/- 579 | 515 +/-495 | |
| Thomasius et al. 2003-former users | AVLT 7 | NS ND & PD | PD, ND | No | NA | 757.9 +/- 579 | 515 +/-495 | |
| Thomasius et al. 2003-former users | AVLT 7-5 | NS ND & PD | PD, ND | No | NA | 757.9 +/- 579 | 515 +/-495 | |
| Thomasius et al. 2003-former users | AVLT 8-7 | NS ND & PD | PD, ND | No | NA | 757.9 +/- 579 | 515 +/-495 | |
| Thomasius et al. 2003-former users | AVLT-1 | NS ND & PD | PD, ND | No | NA | 757.9 +/- 579 | 515 +/-495 | |
| Thomasius et al. 2003-former users | AVT-5 | NS ND & PD | PD, ND | No | NA | 757.9 +/- 579 | 515 +/-495 | |
| Thomasius et al. 2003-former users | AVTL sum 1 to 5 | <0.05 ND, NS PD | PD, ND | No | NA | 757.9 +/- 579 | 515 +/-495 | |
| Thomasius et al. 2003-former users | AVLT 8 | NS ND & PD | PD, ND | No | NA | 757.9 +/- 579 | 515 +/-495 | |
| Thomasius et al. 2003-former users | AVLT 5- 1 | NS ND & PD | PD, ND | No | NA | 757.9 +/- 579 | 515 +/-495 | |
| Thomasius et al. 2003-former users | LGT-3 telephone | NS ND & PD | PD, ND | No | NA | 757.9 +/- 579 | 515 +/-495 | |
| Thomasius et al. 2003-former users | RBMT-Delayed recall | <0.05 ND, NS PD | PD, ND | No | NA | 757.9 +/- 579 | 515 +/-495 | |
| Thomasius et al. 2003-former users | RBMT-Im-Del | NS, PD & ND | PD, ND | No | NA | 757.9 +/- 579 | 515 +/-495 | |
| Thomasius et al. 2003-former users | RBMT-Immediate recall | <0.05 ND, NS PD | PD, ND | No | NA | 757.9 +/- 579 | 515 +/-495 |
CU = Cannabis users, ND = Drug-naïve (non-drug users), PD = Polydrug users. NS = Non-significant.
It should be noted that Ecstasy users studied by Back-Madruga and colleagues were, on average, significantly older than samples assessed in most studies (average age was 37, average for controls = 39), and participants in this study reported considerably less use of stimulants, more use of psychedelics, and less prevalence of cannabis use than is usually seen in studies of Ecstasy users, including those reviewed here. It is perhaps also significant that the Ecstasy users studied by Halpern and colleagues were even more moderate in their use of other drugs than those studied by Back-Madruga and associates, and like Back-Madruga et al, they also failed to find significant differences in performance on the AVLT. Given the past history of detectable differences in performance on list-learning tasks (see, for instance, Fox et al. 2001A; Gouzoulis- Mayfrank et al. 2000; Reneman et al. 2001B), it is surprising that many recent reports offered only qualified support for impaired list recall in Ecstasy users, and that some studies failed to find this difference.
In addition to between-group analyses, researchers have performed correlational and regression analyses of verbal recall scores, with drug use parameters as predictors (Curran et al. 2003; Dafters et al. 2004; Gouzoulis-Mayfrank et al. 2003; Thomasius et al. 2003; Back-Madruga et al. 2003). Lifetime Ecstasy consumption was associated with AVLT-Delayed Recall for current and former users (Thomasius et al. 2003). Average dose per use was associated with AVLT-Immediate recall (Thomasius et al. 2003). This is somewhat surprising, given that lower scores were only seen in former users, yet the two groups do not report greatly differing average dose per use (current users = 3.95 tablets per use, former users = 4.06 tablets per use). Duration of use was associated with verbal memory scores in both current and former Ecstasy users, albeit on different measures (Curran et al. 2003), with the association in current users linking duration of use and immediate and delayed story recall, and scores on a list-learning task somewhat similar to the AVLT linked to duration of use in former users. Gouzoulis-Mayfrank and colleagues found that frequency of use was correlated with performance on immediate prose recall, as assessed by LGT-Library. It is interesting that lower scores were only seen in heavy Ecstasy users, and that heavy Ecstasy users reported using Ecstasy 4.5 times a month, whereas moderate users reported using Ecstasy 1.8 times a month. Thomasius and colleagues found that cannabis use was associated with immediate and delayed prose recall in their comparison of 30 current and 31 former Ecstasy users, 29 drug-using and 30 non-drug using controls (Thomasius et al. 2003). They also found that cannabis use was associated with performance on AVLT6, a subtest measuring degree of interference with list learning apparent when a new list is introduced, and cocaine use was also associated with degree of AVLT list learning.
Verbal recall is one of the few domains of cognitive function consistently associated with Ecstasy use, and with various parameters of Ecstasy use, suggesting that Ecstasy use, or one or more factors associated with Ecstasy use, affects verbal recall. Neither findings of group differences nor findings of associations in these retrospective studies can be considered evidence of a causal relationship. Nevertheless, it is of interest that other functional domains are not as frequently or consistently associated with Ecstasy use as this one (see discussion in IB). In contrast with findings in these studies of Ecstasy users, researchers have failed to find reduced memory in people given one or two doses of MDMA in controlled settings (Grob et al, Unpublished; Ludewig et al. 2003; Vollenweider et al. 2001). Keeping this in mind while recognizing the possibility of a link between MDMA and reduced verbal recall, it seems research participants in clinical trials of MDMA face minimal risk of reductions in verbal recall, as stated in the first review.
Only one of four studies assessing visual recall found Ecstasy users scoring lower than controls (Gouzoulis-Mayfrank et al. 2003). However, in this comparison of 30 moderate Ecstasy users (lifetime consumption = 39.5 tablets), 30 heavy Ecstasy user (lifetime consumption = 503.2 tablets), and 30 cannabis user controls, only a trend was found for lower scores in heavy users when compared with controls. (Moderate Ecstasy users did fare less well than controls, but not at a statistically significant level). Back-Madruga and associates reported that dividing their sample of 22 Ecstasy users into 11 light users (lifetime consumption = 9.45 occasions) and "heavy" users (lifetime consumption = 133.45 occasions) via median split, the researchers found that those reporting higher lifetime Ecstasy consumption had lower scores on Rey-Osterrieth figure recall, and an increased rate of "false alarm" errors on a visual memory test (the CVMT) (Back- Madruga et al. 2004). However, their initial comparison failed to find any differences in visual recall when all Ecstasy users (lifetime use = 74.6 occasions of use) were compared with 28 non-drug using controls. Visual reproduction scores and Rey-Osterrieth scores were not significantly different in 23 Ecstasy users with a lifetime consumption of 60 occasions and 16 light polydrug user controls (Halpern et al. 2004), and heavy users from this sample did not perform significantly worse than controls. Lastly, Thomasius and colleagues did not find any difference in visual recall when 30 current (lifetime consumption = 817.1 tablets, period of abstinence = 23 days) or 31 former (lifetime consumption = 757.9 tablets, period of abstinence = 515 days) Ecstasy users were compared with 29 polydrug using or with 30 non-drug using controls (Thomasius et al. 2003). In two of four studies, effects were only seen in people reporting greater Ecstasy use, and in the other two, no effects were seen at all. However, samples of current and former users reporting much higher use than that reported in either of the studies finding effects in heavy Ecstasy users (e.g. compare the "heavy" users of Gouzoulis-Mayfrank et al. with current users in Thomasius et al. 2003) seemed to perform similarly to controls, raising issues about the nature of the association between lifetime Ecstasy consumption and impaired visual memory.
Correlations and regression analyses found a few associations between parameters of Ecstasy use and performance on measures of visual memory. Lifetime Ecstasy use was associated with lower scores on the CVMT (false alarms and recognition) in a sample of 22 Ecstasy users (Back-Madruga et al. 2004), and immediate and delayed recall on a visual list-learning task (LGT-Logos) were associated with frequency of Ecstasy use in a study of moderate and heavy Ecstasy users (Gouzoulis-Mayfrank et al. 2003). As noted in the discussion of verbal recall, this correlation is consonant with findings of lower scores only in heavy Ecstasy users, since they reported more frequent use than moderate users.
Visual recall is examined less frequently than verbal recall, and when it is examined, results are less certain and more qualified than for verbal recall, and studies published in 2003 continue this trend. Some parameters of Ecstasy use, or factors related to these parameters, seem to be related to performance on visual recall tasks. Since reductions in visual memory are not consistently detected across samples, it seems likely that other factors may at least partially explain this association when it is found. It appears that risk of impaired visual memory associated with clinical trials of MDMA is very low.
In conclusion, recently published reports assessing verbal and visual memory in Ecstasy users continue to find an association between regular Ecstasy use and performance on tests of memory. This seems especially true for measures of visual working memory and verbal memory. Unlike previous research, recent studies employed more sophisticated research designs, including the use of samples more appropriately matched on drug use. Perhaps as a result, these studies have reported a greater number of qualifications to their findings. Note that at least one study found that while current or former Ecstasy users scored lower on measures of memory than non-drug users, they did not always score lower than cannabis users or polydrug users (Dafters et al. 2004; Thomasius et al. 2003). It also appears that people who report a lifetime consumption lower than 50 tablets or occasions perform similarly to non-drug users (Back-Madruga et al. 2003; Gouzoulis- Mayfrank et al. 2003; Halpern et al. 2004). These findings suggest that impairments in memory may be related either to degree of lifetime exposure or to factors associated with lifetime exposure, including pre-existing factors and use of other drugs. As well, it seems that diagnosis with a substance abuse disorder may also be related to reductions in memory function (Hanson and Luciana 2004), a finding that supports a role for one or ore pre-existing factor. None of the recent findings concerning memory significantly alter the risk assessments put forward in the IB or in the 2002 update to the IB, except perhaps to further qualify it by noting that moderate repeated use of Ecstasy may have little or no association with lower scores on measures of memory. People taking part in clinical trials of MDMA are likely to face a risk of impaired working, verbal or visual memory, but these risks are minimal.
Quantitative Review of Verbal Recall
At the time when the 2002 update to the IB was completed, the only quantitative review of studies of cognitive function consisted of the analyses presented in the IB (Baggott et al. 2001). Those analyses the specific test scores from each study that exhibited the greatest difference between Ecstasy users and controls, and was thus designed to find associations between parameters of Ecstasy use and impairments in cognition. These analyses detected an associations between scores on measures of executive function and lifetime Ecstasy consumption, and a relationship between executive function scores and period of abstinence from use. However, these analyses failed to find significant associations between memory function and any of the ecstasy use parameters examined. Subsequent to the completion 2002 update of the IB, Verbaten (2003) published a meta- analysis using methods similar to those used in the IB. Verbaten examined ten studies featuring Ecstasy users who had abstained for at least a week prior to assessment, and he examined immediate (referred to in the paper as short-term), delayed (referred to as long- term) verbal memory, and attention across these studies. The study also performed regression analyses to detect possible effects of lifetime Ecstasy and cannabis use. The author also applied a statistic meant to account for the possibility of unpublished, and negative (non-significant) findings, that would alter meta-analysis findings if they were published.
After conducting these analyses, Verbaten found a consistent difference between Ecstasy users and controls on immediate and delayed verbal memory, but not in attention or task performance. Verbaten also reported that lifetime Ecstasy use was not associated with reduced immediate or delayed verbal memory. A second analysis that controlled for the effects of cannabis use still found that Ecstasy users across studies scored lower on measures of immediate memory, but failed to find any differences on measures of delayed memory. Though the author found a "step-wise" association between lifetime Ecstasy consumption and lower verbal memory scores, Verbaten did not interpret this as supporting claims that a "single dose" of Ecstasy leads to impaired verbal memory, due to the lack of any studies assessing this relationship, and due to the fact (noted in this review as well) that lifetime Ecstasy consumption in a given study does not predict the likelihood of its finding impaired memory. It should be noted Verbaten failed to address the possibility of there being a bias for publishing studies reporting undesirable effects of illicit drugs, and he failed to acknowledge or account for differences in measures and types of controls used in the studies reviewed. Nevertheless, the analysis raises some of the same issues and reaches similar conclusions to those reached in this review. For instance, even though a number of studies have only detected impaired memory function in heavy Ecstasy users (Back-Madruga et al. 2004; Gouzoulis-Mayfrank et al. 2003; Halpern et al. 2004), these studies did not always report associations between lifetime use and performance on measures of memory. Like many of the studies published in 2003, this meta-analysis of earlier reports suggests that impaired memory in Ecstasy users may be due in part to one or more parameter of Ecstasy use, or factors associated with Ecstasy use, but that at least one aspect of memory is also associated with cannabis use, or factors associated with cannabis use. It also appears that this meta-analysis also does not support claims that even one or two doses of MDMA will affect verbal memory.
Other Functional Domains
Researchers also assessed other functional domains besides those of attention, executive
function and memory. These include information processing (Back-Madruga et al. 2004;
Halpern et al. 2004; McCardle et al. 2004; Thomasius et al. 2003), language (Back-
Madruga et al. 2004), motor function (Halpern et al. 2004; Hanson and Luciana 2004;
McCardle et al. 2004; Thomasius et al. 2003) and visual-spatial skills (Back-Madruga et
al. 2004; Thomasius et al. 2003). Only two of five studies found Ecstasy users had lower
scores in one of these domains (Halpern et al. 2004; Hanson and Luciana 2004).
None of the four studies assessing information processing speed with the Digit Symbol
test detected lower scores in Ecstasy users. 22 Ecstasy users who had used Ecstasy on an
average of 74.6 occasions had similar Digit Symbol scores to 28 non-drug user controls
(Back-Madruga et al. 2004). Thomasius and colleagues failed to detect any differences
in the Digit Symbol scores of 30 current (period of abstinence = 23 days, lifetime
consumption = 817.1 tablets) or 31 former Ecstasy users (period of abstinence = 515
days, lifetime consumption = 757.8 tablets) when compared with 29 polydrug user and 30
non-drug user controls (Thomasius et al. 2003). A sample of 17 Ecstasy users (lifetime
consumption not reported, median 4 to 9 occasions) and 16 cannabis user controls failed
to detect any differences in Digit Symbol scores (McCardle et al. 2004). Halpern and
colleagues found that 23 Ecstasy users (lifetime consumption = 60 occasions) performed
similarly to 16 light polydrug user controls (Halpern et al. 2004). It is notable that in
contrast with Digit Symbol performance, Halpern and colleagues found that Ecstasy users
scored lower on another measure of information processing, the Stroop task.
Only two studies assessed Ecstasy users on the Stroop test, a task measuring information
processing and cognitive interference produced by contradictory color and word
information (Back-Madruga et al. 2004; Halpern et al. 2004), with one research team
finding significant differences in Stroop task performance, and the other failing to find
any differences. Halpern and colleagues failed to find significant differences in Stroop
task in 23 Ecstasy users (lifetime consumption = 60 occasions) and 16 controls matched
for Ecstasy users with respect to very moderate polydrug use. However, when the sample
of Ecstasy users was divided into 12 moderate users (fewer than 50 occasions) and 11
heavy users (50 or more occasions), these researchers found significantly increased
interference in heavy users, but not in moderate users. Furthermore, the researchers
found an association between log transformed lifetime Ecstasy consumption and Stroop
interference scores, with greater lifetime Ecstasy use associated with greater Stroop task
interference. However, another study employing the Stroop task failed to find any
differences in performance in 22 Ecstasy reporting lifetime consumption on74.6
occasions and 28 archival controls matched for gender and age (Back-Madruga et al.
2004). It is notable that samples examined in both studies are unusual in their generally
moderate use of substances other than Ecstasy, though participants in the study of Back-
Madruga and colleagues were generally older and had a more extensive history of
polydrug use than those studied by Halpern and colleagues. It is not clear why the two
studies reported conflicting findings.
Only Back-Madruga and colleagues compared language skills in the same sample of 22
Ecstasy users and 28 controls described above, via Boston Naming Test. They found the
two groups performed similarly on the task, though 11 Ecstasy users reporting higher
Ecstasy use (133.45 occasions) performed less well on this task than the Ecstasy users
reporting fewer episodes of use (lifetime consumption = 9.45 occasions).
Researchers assessed motor skills with the Grooved Pegboard and Finger Tapping test
(Hanson and Luciana 2004), and the Trail Making Test (Halpern et al. 2004; McCardle et
al. 2004; Thomasius et al. 2003). Two of four studies found impaired performance in at
least some groups of Ecstasy users, but these were often qualified by other findings.
While there were few performance differences between 26 Ecstasy users reporting 64.9
occasions of use and 26 non-user controls, Hanson and Luciana found that Ecstasy users
had slower finger tapping rates when they tapped with the dominant hand (Hanson and
Luciana 2004). The same researchers also reported that 14 Ecstasy users diagnosed with
a substance abuse disorder, and reporting lifetime consumption of 95.4 occasions, had
lower scores on one subtest of the Grooved Pegboard test for the non-dominant hand.
However, no differences were seen for the sample as a whole, or in the 12 Ecstasy users
without any diagnosed drug abuse disorders, who reported lifetime Ecstasy use of 29.3
occasions. In a similar vein, Halpern and colleagues found that Ecstasy users reporting
over 50 occasions of use erred more on the Trail Making Test than controls (Halpern et
al. 2004), but failed to find overall differences in performance on this test of motor skills
when the entire sample of 23 Ecstasy users was compared with 16 light polydrug user
controls. These results suggest that some difficulties in psychomotor skills are associated
with heavier Ecstasy use. In contrast, Thomasius and colleagues did not find any
performance differences on the Trail Making Test between 30 current (time since last use
= 23 days) or 31 former (time since last use = 515 days) Ecstasy users and 30 non-drug
user or polydrug user controls. McCardle and colleagues also failed to detect differences
in Trail Making Test performance in a sample of 17 Ecstasy users reporting a median of
four to nine occasions of use, and 16 cannabis user controls (McCardle et al. 2004).
Since the current and former users studied by Thomasius and colleagues reported higher
rates of Ecstasy use than Ecstasy users in the sample examined by Hanson and Luciana, it
seems unlikely that lifetime consumption of Ecstasy is related to these differences.
(Lifetime Ecstasy consumption for Thomasius et al. 2003 provided in discussion of
information processing). Since Hanson and Luciana note that Ecstasy users with drug
abuse disorders demonstrate a greater number of motor skill differences than those
without this diagnoses, the differences may relate to mood or psychological problems, or
other pre-existing factors associated with drug abuse disorders.
Visual-spatial skills were assessed through the Block Design and Rey-Osterrieth Figure
tasks in a sample of 22 Ecstasy users (lifetime Ecstasy consumption = 74.6 occasions)
and 28 non-drug user controls (Back-Madruga). Visual-spatial skills may also have been
assessed by Thomasius and colleagues via a test referred to as Logical Figures in 30
current Ecstasy users (lifetime consumption = 817.1 tablets, time since last use = 23
days), 31 former Ecstasy users (lifetime consumption = 757.9, time since last use 515
days), 29 polydrug users and 30 non-drug users. Halpern and colleagues compared
performance on Block Design and Rey-Osterrieth figure production in 23 Ecstasy users
(lifetime consumption = 60 occasions) and 16 light polydrug users. None of these studies
reported any significant differences between Ecstasy users and controls in visual-spatial
skills. These findings are similar to those in previous studies that failed to find an
association between Ecstasy use and visual-spatial skills.
More generally speaking, recent publications examining information processing, motor
skills and other domains of cognitive function report findings similar to those seen in
previous publications. While impaired performance in these domains is sometimes
detected, detection is rarely consistent across studies, and it does not seem that samples
reporting greater Ecstasy use were more likely to exhibit impaired performance than
Ecstasy users reporting less use of Ecstasy. After considering studies in repeated Ecstasy
users, it appears that people in clinical trials of MDMA face only very minimal risk of
changes in these functional domains.
Perceived Cognitive Function
The 2002 update to the IB discussed findings from an on-line survey of self-reported
memory function in Ecstasy users (Rodgers et al. 2001). The survey found cannabis use
more closely associated with perceived difficulties in recalling past occurrences, referred
to as "retrospective" memory, and Ecstasy use more closely tied to perceived difficulties
in remembering to perform routine or planned (future) tasks, referred to as "prospective
memory." The review noted the difficulties with drawing conclusions from studies
relying on self-reports of memory difficulties, and noted that other studies had found
dissociations between perceived difficulties attributed to Ecstasy use and scores on
observer-rated measures (e.g. Fox et al. 2001B). Furthermore, the only researchers to
assess prospective memory with an observer-scored scale failed to find any decline in
prospective memory a year after continued Ecstasy use, even though the same researchers
did detect a decline in other memory scores (Zakzanis and Young 2001).
Sine the completion of that review, Rodgers and colleagues report findings from another
on-line survey that appears to gather data from a separate sample of drug users (Rodgers
et al. 2003), but uses the same measures employed in the first survey. They included 199
of 282 Ecstasy users in their sample, and did not compare scores on two of three
prospective memory scale scores because they proved unreliable in this sample. Rodgers
and colleagues found that Ecstasy use was associated with a perceived increase in
difficulties with long-term prospective memory, and far weaker and non-significant
effects on self-reported retrospective memory. Frequency of cannabis use, on the other
hand, was associated perceived problems with (retrospective) memory, and not with
prospective memory problems. Ecstasy users also made more errors when completing
surveys, with greater lifetime Ecstasy use associated making a greater number of errors
made on the surveys. In contrast, use of LSD and frequency of cannabis use were
associated with making fewer errors on the survey.
It is difficult to establish lifetime Ecstasy consumption in this sample, since the authors
chose to report only ranges of use (e.g. 1-9, 10-99 occasions), and divided these figures
between men and women participants. However, using a rough estimate, it appears that
Ecstasy users in this sample reported a lifetime consumption of 19.37 occasions. While
the sample size used in this study is impressive, measures of perceived memory cannot be
considered equivalent to assessing memory through objectively scored measures, as
already noted when discussing previous on-line survey results. There are also a number
of plausible explanations accounting for Ecstasy users making a greater number of errors
on surveys that do not necessarily relate to prospective memory, such as impulsivity or
distractibility. It is also notable that the authors discarded 84 subjects who reached the
survey through a harm reduction site, stating explicitly that these individuals differed
from the rest of the sample in that they did not report experiencing any memory
difficulties. The choice was apparently made in an attempt to avoid the deliberate
alteration of responses, and to deal with the possibility that neuroprotective techniques
discussed on harm reduction sites had beneficial effects. Regardless of the reasons for
removing these respondents from further analyses, the removal increased the likelihood
of detecting perceived memory difficulties in the sample of Ecstasy users. It is intriguing
that the survey found Ecstasy users to perceive themselves as having difficulties
remembering to make planned responses, given the focus of most studies on retrospective
memory. Intriguing as these results may be, these results cannot be used in an estimation
of effects of Ecstasy use because of their failure to confirm perceived difficulties with
objectively scored measures.
Cognitive Function and Serotonin Function
As discussed in the 2002 revision to the IB, findings from a number of studies support a
dissociation between presumed indicators of serotonin function and performance on
measures of cognitive function in Ecstasy users, with measures in one domain failing to
predict results in the other domain. While this dissociation might be related to the use of
novel or controversial means of assessment in either area of function, the lack of a clear
relationship between indicators of brain serotonin levels and scores on measures of
various cognitive functions suggests that cognitive function should not be treated as an
indirect measure of serotonin function.
Findings supportive of a dissociation between serotonin function and neurocognitive
function continue to appear subsequent to the 2002 revision of the IB. Most notably, two
studies conducted in nearly identical samples of current Ecstasy users, former Ecstasy
users, polydrug users and non-drug users found that current users had fewer serotonin
transporter sites, but that former Ecstasy users had lower scores on measures of memory
(Buchert et al. 2003; Thomasius et al. 2003). Note also the recent report finding lower
scores on measures of executive function in men who used Ecstasy, but not in women
(Alting Von Geusau et al. 2004). This finding stands in contrast to an earlier report that
found lower numbers of presumed serotonin transporter sites in heavy Ecstasy users who
were women, and not men (Reneman et al. 2001A).
Other studies appearing in 2003 lend support to a dissociation between results on
measures of cognitive function and measures of serotonin function. Researchers in
England sought to examine serotonin function and cognitive function by manipulating
available tryptophan (precursor to serotonin) in samples of male current (abstinent for 39
days, lifetime consumption of 527.8 tablets) and former (abstinent for 873.6 days,
lifetime consumption of 1105.8 tablets) Ecstasy users, and in cannabis user controls
(Curran et al. 2003). Curran and colleagues had begun with the expectation that
tryptophan depletion would exacerbate impaired memory and executive function in
Ecstasy users, and that augmenting tryptophan would improve performance on these
measures. They hypothesized that if changes in serotonin function were transient, then
current Ecstasy users would be sensitive to tryptophan manipulation, whereas sensitivity
in both current and former Ecstasy users would be evidence for permanent or very long-
term changes in serotonin function. Contrary to expectations, the researchers found that
delayed prose recall was sensitive to tryptophan manipulation in former Ecstasy users,
and not current users (lifetime consumption = 527.8 tablets). They also found a trend for
immediate prose recall to be sensitive to tryptophan manipulation, with this finding also
only in former Ecstasy users. Former Ecstasy users in this study also performed less well
on the RVIP, a measure of information processing and executive function, a measure that
showed sensitivity to tryptophan manipulation for all groups (that is, current users,
former users and cannabis users all performed better under tryptophan augmentation than
after tryptophan depletion). However, though former Ecstasy users had lower scores on
several measures of memory at baseline, and both current and former Ecstasy users
showed less of a practice effect on a measure of attention, these measures were not
sensitive to tryptophan manipulation. Furthermore, as discussed below under "Other
Domains Assessed in Ecstasy Users," former Ecstasy users with greater changes in
plasma tryptophan after tryptophan augmentation had lower scores on prose recall, and
current users with greater changes in plasma tryptophan after tryptophan manipulation
had lower scores on a measure of executive function. At the least, these findings suggest
that the relationship between serotonin function and cognitive function is not simple, and
that measures of neurocognitive function cannot serve as indirect measures of serotonin
function. In turn, findings like these and the ones described above suggest that impaired
cognitive function in Ecstasy users cannot be treated as an indicator of MDMA-induced
harm to the human serotonin system.
Cognitive Function-Summary and Conclusions:
While most research findings reviewed here reported findings that are not in conflict with
earlier reports reviewed in the IB and in the 2002 update to the IB, there are a few new
developments of note in studies of Ecstasy users. One novel finding is of impaired
memory and executive function in former, but not current, Ecstasy users, noted in two
recent publications (Curran et al. 2003; Thomasius et al. 2003). These effects may be the
result of one or more overlapping factors. These include differences in use of other
drugs, injury and regrowth of serotonin axons, or pre-existing conditions associated with
substance use and the decision to abstain from further Ecstasy use. Another development
is the relative increase in studies finding impaired visual working memory in Ecstasy
users (Curran et al. 2003; Daumann et al. 2003a; Daumann et al. 2003b), even when no
differences in verbal working memory were detected (Halpern et al. 2004, for heavy
users; Hanson and Luciana 2004). The significance of this finding is unclear, but
suggests that impairments in working memory are not restricted to verbal working
memory. It is also notable that two studies that employed samples of Ecstasy users
reporting comparably lower use of other drugs also failed to detect changes in verbal
recall (Back-Madruga et al. 2004; Halpern et al. 2004). However, other research teams
that employed samples fairly well-matched on drug use did find impairments in memory
or executive function (Gouzoulis-Mayfrank et al. 2003), but only in people reporting use
of more than 80 tablets. It is notable that both Halpern and colleagues and Back-
Madruga and colleagues also found heavier lifetime use of Ecstasy was associated with
lower scores on measures of visual recall, information processing and executive function.
When taken together, these developments suggest that the association between Ecstasy
use and impaired cognitive function is complex and may involve several factors,
including factors not directly related to Ecstasy use, but they do not significantly increase
or decrease the initial risk assessment made for participants in clinical trials of MDMA.
It is important to remember that reliance on studies of Ecstasy users to calculate such
risks will produce, at best, a very conservative risk estimate with respect to clinical trials,
since the doses, dose regimens and settings used in clinical trials differ from those
employed by most Ecstasy users. As discussed in the section on clinical trials,
assessments performed before and after MDMA administration suggest that participants
receiving MDMA in the course of research studies face only minimal risk of reductions
in any domains of cognitive function (Ludewig et al. 2003). A review of past and current
research in Ecstasy users continues to indicate possible links between MDMA and subtle
but detectable impairments in specific areas of cognitive function, but not in other areas.
In all cases, risk of such cognitive impairments is expected to be minimal for participants
in clinical trials.
Imaging Studies
Subsequent to the completion of the 2002 update to the IB, five studies have assessed
brain structure (Buchert et al. 2003; Cowan et al. 2003) or function (Daumann et al.
2003a; 2003b; Jacobsen et al. 2004) in samples of Ecstasy users. Only one of the studies
sought to detect changes in serotonin function (Buchert et al. 2003), while the others
either assessed structural features with an unknown relationships to serotonin function
(Cowan et al. 2003), or examined brain function in response to specific tasks (Daumann
et al. 2003a; 2003b; Jacobsen et al. 2004).
A team of researchers in Germany (Buchert et al. 2003; Thomasius et al. 2003) assessed
serotonin transporter uptake (SERT) site density in matched samples of 30 current
Ecstasy users (lifetime consumption = 827 tablets, days since last use = 24 days), 29
former Ecstasy users (lifetime consumption = 793 tablets, days since last use = 514 days),
29 polydrug users and 29 non-drug users through the radioligand (radioactive drug that
binds to a specific site) McN5652. The same ligand was also used in an earlier report
that found lower McN5652 binding in Ecstasy users (McCann et al. 1998), interpreted as
an indicator of fewer serotonin transporter sites. It should be noted that this radioligand
can image subcortical areas, but it cannot provide images of cortical areas. Thomasius
and colleagues found that current Ecstasy users had lower specific McN5652 binding in
mesencephalon (midbrain) and thalamus that was 4% to 6% lower than binding in former
Ecstasy users, polydrug users or non-drug users. Slightly fewer SERT sites in current
Ecstasy users, but not in former users, may be interpreted as an indication of non-
neurotoxic changes in serotonin function, evidence of neurotoxicity and regrowth of
affected serotonin axons, or an effect of using other drugs, such as cannabis or
amphetamines. If reduced serotonin transporter sites are considered indicative of
neurotoxicity, then it appears that people recover from neurotoxicity after a period of
abstinence. Study findings stand in contrast to those of McCann and colleagues, who
reported a 70% to 80% reduction in SERT sites in Ecstasy user (McCann et al. 1998). I
Structural magnetic resonance imaging with voxel based morphometry (VBM) of the
brains of 31 Ecstasy users and 29 moderate polydrug users found reduced gray matter in
parts of the occipital, temporal and frontal lobe (left and right Brodmann area (BA) 18,
left BA 21, and BA 45), both sides of the cerebellum, and a midline area of brainstem
(Cowan et al. 2003). Because data on Ecstasy consumption is only presented in terms of
"low," "medium" and "high" use in this study, lifetime consumption can only be roughly
estimated as falling between 31.6 and 34.35 tablets. Lower levels of gray matter were
seen in areas related to vision and language function. Differences found in this report do
not match those described in other MRS studies of the brains of Ecstasy users (Chang et
al. 1999; Obergriesser et al. 2001; Reneman et al. 2002C; Reneman et al. 2001c), with the
exception of reduced gray matter in occipital areas, a finding also reported by Chang and
colleagues (1999). In discussing their results, the authors acknowledge that the form of
MRI they used is novel and that to date, there is no reason to believe their findings are
indicative of serotonin toxicity in Ecstasy users. Furthermore, the researchers found
associations between use of a number of other drugs and reduced gray matter in various
brain areas, with those other drugs including cocaine, cannabis and hallucinogens,
suggesting that study findings might relate to additive effects or interactions between
drugs. Since this is a retrospective study, it is also possible that study results are at least
partially due to pre-existing differences in brain structure, as those associated with the
tendency toward polysubstance use. These study findings are difficult to compare with
other imaging studies, as the researchers were not assessing serotonin function or specific
markers of brain injury or repair, and they were not measuring activity during task
performance. The significance of these findings is unclear at present, particularly
considering conflicting reports from other studies using structural imaging techniques.
Three studies, two performed by the same team of researchers in Germany, used
functional magnetic resonance imaging (fMRI) to assess brain activity in Ecstasy users
and controls during selected tasks (Daumann et al. 2003a; Daumann et al. 2003b;
Jacobsen et al. 2004). Perhaps owing to the cost or complexity of the imaging technique,
all sample sizes were very small, with two studies employing fewer than ten subjects per
condition (Daumann et al. 2003a; Jacobsen et al. 2004). Each study represents a different
research design, making it difficult to make comparisons across studies. One study
compared 11 heavy Ecstasy users, 11 moderate Ecstasy users and 11 non-drug user
controls while they performed the "n-back" task a measure of working memory,
a(Daumann et al. 2003A), another study examined brain activity during "n-back" task
performance in 8 "pure" Ecstasy users, 8 polysubstance using Ecstasy users, and eight
non-drug user controls (Daumann et al. 20003B), and the third study examined activity
while performing measures of attention in six adolescent Ecstasy users and six
adolescents described as polydrug users but who are better considered cannabis users
(Jacobsen et al. 2004). Daumann and colleagues reported that all Ecstasy users displayed
greater activation in right parietal areas and less activation in superior temporal regions in
the study comparing heavy and moderate users and non-drug user controls (Daumann et
al. 2003A). Heavy ecstasy users (lifetime consumption = 258.18 tablets) had lower
activation in left superior temporal lobe and greater activation of BA 40 than moderate
users (lifetime consumption of 27.36 tablets) and non-drug user controls. Another study
using the same methods to compare "pure" Ecstasy users (lifetime consumption = 74.5
tablets) with "polyvalent (polydrug using) Ecstasy users (lifetime consumption = 56.25
tablets) on a working memory task found that "pure" Ecstasy users, but not polysubstance
using Ecstasy users, exhibited lower activation in angular gyrus during n-back task
performance (Daumann et al. 2003B). These "pure" Ecstasy users also showed greater
changes in activity in premotor cortex. Lastly, the study of six adolescent Ecstasy users
reporting having taken Ecstasy on an average of ten occasions and cannabis-using
controls found that Ecstasy users had lower activation in the left hippocampus when
performing tasks assessing selective and divided attention (Jacobsen et al. 2004).
However, Jacobsen and colleagues also found fewer differences in left hippocampal
activation when Ecstasy users and controls performed the most difficult n-back task
(Jacobsen et al. 2004).
The significance of these differences in brain function is not clear, especially in studies
that found little or no differences in task performance (Daumann et al. 2003a; Daumann
et al. 2003b). It is possible that people with an earlier onset of Ecstasy use might have
different responses or experience different effects than adult users, explaining results
reported by Jacobsen and colleagues. Because all studies used small sample sizes and
examined many brain areas, it is possible that significant findings reflect random
variations in brain activity. It is not clear how these changes in brain function relate to
changes in cognitive or serotonin function, and so these findings do not inform risk
estimates for Ecstasy users or in relation to clinical trials of MDMA.
In summary, an examination of recently published imaging studies published subsequent
to the completion of the 2002 update to the IB offer little to no indication of greater or
lesser risk of changes in brain structure or activity after only a few doses of MDMA.
Findings from one study might lead to a lower estimated risk for regular Ecstasy use
(Buchert et al. 2003), while the significance of other research findings remains unclear
(Cowan et al. 2003).