A Systematic Review of Reporting Practices in Psychedelic Clinical Trials: Psychological Support, Therapy, and Psychosocial Interventions
Bibliographic record
Abstract
Background: Psychedelic-assisted therapy has gained significant attention in recent years. However, there is a lack of empirical clarity on the role of psychosocial interventions (PIs) in clinical trials of psychedelic treatment due in part to deficiencies in reporting practices found in the existing literature. These PI include non-drug support or interventions provided by psychotherapists or facilitators during all phases of treatment, sometimes called "psychological support," "monitoring," "psychedelic-assisted therapy," or "psychedelic-assisted psychotherapy." A brief review of recent research, historical studies, safety considerations, and participant perspectives suggests that PI has a substantive and critical impact on treatment outcomes. Methods: This systematic review examines the reporting practices on PI in published clinical trial results. The review employs a search of PubMed/Medline and PSYCinfo databases to identify relevant articles. It includes quantitative clinical studies treating patients with psychiatric indications using classic psychedelics (psilocybin, LSD, DMT, ayahuasca) or empathogenic drugs (MDMA) since 2000. The analytic approach follows a modified version of assessment items based on CONSORT extension statement and TIDieR checklist. Results: Thirty-three published psychedelic clinical trials met criteria. The review reveals that many published reports on psychedelic clinical trials did not report basic aspects of the intervention: 33% did not report the number of sessions, 45% did not report the duration of sessions, 42% did not report provider credentials, 52% did not report whether their intervention used a therapy manual, 64% did not reference a manual that was available to readers, and 82% did not report that they assessed treatment fidelity. A comparison with non-psychedelic trials shows that psychedelic trial reports underreport on key items related to PI. Discussion: The study highlights the problems of underreporting and the importance of improving reporting practices regarding PI in psychedelic clinical trials to enhance research standardization and improve treatment outcomes. Recommendations for improving reporting practices are provided.
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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 | 0.199 | 0.541 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.014 | 0.012 |
| Bibliometrics | 0.024 | 0.032 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".