Risk for Ecstasy Use Disorder and Other Substance Use Among International Users of Recreational Ecstasy/Molly/MDMA
Bibliographic record
Abstract
Ecstasy/Molly/MDMA is a widely used substance often taken in combination with other drugs in different contexts. The current study assessed ecstasy use patterns, concurrent substance use and the context of ecstasy use among an international sample of adults (N = 1,732). Participants were 87% white, 81% male, 42% college educated, 72% employed, with a mean age of 25.7 (SD = 8.3). Using the modified UNCOPE, risk for ecstasy use disorder was 22% overall, and significantly higher among younger individuals and those with greater frequency and quantity of use. Participants reporting risky ecstasy use endorsed significantly higher use of alcohol, nicotine/tobacco, cannabis, cocaine, amphetamine, benzodiazepines, and ketamine compared to those at lower risk. Great Britain (aOR = 1.86; 95% CI [1.24, 2.81]) and Nordic countries (aOR = 1.97; 95% CI [1.11, 3.47]) were approximately 2 times more likely to exhibit risk for ecstasy use disorder than the United States, Canada, Germany, and Australia/New Zealand. Taking ecstasy at home emerged as a common setting followed by electronic dance music events and music festivals. The UNCOPE may be a useful clinical tool for detecting problematic ecstasy use. Harm reduction interventions for ecstasy should target young people, substance co-administration, and context of use.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".