The effects of MDMA-assisted therapy on alcohol and substance use in a phase 3 trial for treatment of severe PTSD
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Bibliographic record
Abstract
BACKGROUND: Post-traumatic stress disorder (PTSD) is commonly associated with alcohol and substance use disorders (ASUD). A randomized, placebo-controlled, phase 3 trial demonstrated the safety and efficacy of MDMA-assisted therapy (MDMA-AT) for the treatment of severe PTSD. This analysis explores patterns of alcohol and substance use in patients receiving MDMA-AT compared to placebo plus therapy (Placebo+Therapy). METHODS: Adult participants with severe PTSD (n = 90) were randomized to three blinded trauma-focused therapy sessions with either MDMA-AT or Placebo+Therapy. Eligible participants met DSM-5 criteria for severe PTSD and could meet criteria for mild (current) or moderate (early remission) alcohol or cannabis use disorder; other SUDs were excluded. The current analyses examined outcomes on standardized measures of hazardous alcohol (i.e., Alcohol Use Disorder Identification Test; AUDIT) and drug (i.e., Drug Use Disorder Identification Test; DUDIT) use at baseline prior to randomization and at study termination. RESULTS: There were no treatment group differences in AUDIT or DUDIT scores at baseline. Compared to Placebo+therapy, MDMA-AT was associated with a significantly greater reduction in mean (SD) AUDIT change scores (Δ = -1.02 (3.52) as compared to placebo (Δ = 0.40 (2.70), F (80, 1) = 4.20, p = 0.0436; Hedge's g= .45). Changes in DUDIT scores were not significantly different between treatment groups. CONCLUSIONS: MDMA-AT for severe PTSD may also lead to subclinical improvements in alcohol use. MDMA-AT does not appear to increase risk of illicit drug use. These data provide preliminary evidence to support the development of MDMA-AT as an integrated treatment for co-occurring PTSD and ASUD.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it