Potential processes of change in MDMA‐Assisted therapy for social anxiety disorder: Enhanced memory reconsolidation, self‐transcendence, and therapeutic relationships
Bibliographic record
Abstract
OBJECTIVE: Researchers have suggested that psychotherapy may be enhanced by the addition of 3,4-methylenedioxymethamphetamine (MDMA), particularly in the treatment of disorders wherein interpersonal dysfunction is central, such as social anxiety disorder. We review literature pertaining to three potential processes of change that may be instigated during sessions involving MDMA administration in the treatment of social anxiety disorder. DESIGN: This is a narrative review that integrates research on the etiology and maintenance of social anxiety disorder and mechanisms of action of MDMA to examine how MDMA may enhance psychotherapy outcomes. RESULTS: We first outline how MDMA may enhance memory reconsolidation in social anxiety disorder. We then discuss how MDMA may induce experiences of self-transcendence and self-transcendent emotions such as compassion, love, and awe; and how these experiences may be therapeutic in the context of social anxiety disorder. We subsequently discuss the possibility that MDMA may enhance the strength and effectiveness of the therapeutic relationship which is a robust predictor of outcomes across many disorders as well as a potential key ingredient in treating disorders where shame and social disconnection are central factors. CONCLUSION: We discuss how processes of change may extend beyond the MDMA dosing sessions themselves.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".