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Record W3165647036

A Literature Review: The Efficacy of MDMA-Assisted Psychotherapy

2017· article· en· W3165647036 on OpenAlexaff
Olivia Tsai

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMDMAEcstasyPsychotherapistAdverse effectPsychologyHallucinogenClinical trialPsychiatryMoodMedicinePharmacology
DOInot available

Abstract

fetched live from OpenAlex

Researchers have proposed that MDMA (3,4-methylenedioxymethampethamine), an illicit psychedelic drug with widespread recreational use, may be a beneficial therapeutic adjunct in PTSD treatment due to its unique mood altering and prosocial effects. A growing body of clinical evidence points to MDMA-assisted psychotherapy as a promising alternative for individuals who have found current PTSD treatments unsuccessful. Within the past decade, several studies integrating MDMA administration with psychotherapy have seen clinical PTSD symptom reductions. Despite this, the therapeutic application of MDMA remains contentious. A range of in vitro experiments as well as studies in drug users and animal models have associated MDMA with adverse health consequences, including psychiatric distress, cognitive decline, and neurotoxicity. However, it remains a challenge to parse out whether these negative side effects are truly applicable in a clinical setting, where a chemically unadulterated and standardized dose is provided during a limited number of sessions. In this literature review, I will summarize the recent clinical trials on MDMA-assisted psychotherapy, point out the limitations of this research, examine potential adverse health effects, and outline important topics for future exploration.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.626
Threshold uncertainty score0.731

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.053
GPT teacher head0.403
Teacher spread0.350 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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