Self-experience in MDMA assisted therapy of PTSD
Bibliographic record
Abstract
Abstract In recent years there has been a resurgence of interest in the therapeutic potential of psychedelic substances such as 3,4-methylenedioxymethamphetamine (MDMA). This renaissance of psychedelic studies opens the door for a new paradigm in psychiatric medicine: drug-facilitated psychotherapy. In this study we report the findings of a randomized, double-blind, placebo-controlled, multi-site Phase 3 clinical trial ( NCT03537014 ) to test the effects of MDMA-assisted therapy (MDMA-AT) on patients with severe PTSD. The vast majority (85%) of individuals in this study reported having suffered early childhood trauma, which is strongly associated with deficits in emotional coping skills /altered self-capacities, which have been shown to constitute major obstacles to successful completion of currently available evidence-based treatments. Partcicipants were randomized 1:1 to receive manualized therapy with either MDMA or placebo with three preparatory and nine integrative therapy sessions. Symptoms were measured at baseline and at 2□ months after the last experimental session with the Clinician-Administered PTSD Scale for DSM-5, the Toronto Alexithymia Scale (TAS_20), the Self Compassion Scale (SCS) and the Inventory of Altered Self-Capacities (IASC). MDMA-AT, compared with psychotherapy alone, significantly altered the domains of alexithymia, self-compassion, and altered self-capacities. These findings suggest that MDMA-AT can substantially improve transdiagnostic mental processes associated with poor treatment response.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".