Psilocybin-assisted psychotherapy for treatment-resistant obsessive–compulsive disorder: protocol for an open-label pilot study
Bibliographic record
Abstract
BACKGROUND: Obsessive-compulsive disorder (OCD) is a debilitating mental disorder commonly treated with selective serotonin reuptake inhibitors, atypical antipsychotic augmentation and cognitive-behavioural therapy. However, up to 60% of people with OCD do not respond to these treatments. Therefore, a novel intervention, psilocybin-assisted psychotherapy (PAP), is an option of interest. Moreover, there is a need to better understand the mechanisms underpinning PAP's effect on OCD symptoms. AIMS: We aimed to (a) establish the feasibility, tolerability and safety of administering PAP to adults with treatment-resistant OCD; (b) provide preliminary data on the clinical effects of PAP for treatment-resistant OCD, to inform the design of larger clinical trials; and (c) compare neuroimaging and neurophysiological markers pre- and post-PAP in treatment-resistant OCD. METHOD: In this 12-week open-label trial, ten adults with treatment-resistant OCD will receive one 25 mg dose of psilocybin combined with psychological support. Feasibility, tolerability and safety will be assessed throughout. Clinical outcomes will be measured with the Yale-Brown Obsessive-Compulsive Scale. Exploratory measures will include brain imaging examining changes in dynamic connectivity from pre to post treatment, electroencephalogram to investigate changes in brain dynamics associated with psilocybin under acute conditions, and transcranial magnetic stimulation-electroencephalogram measures between baseline, provocation of OCD symptoms and up to 1-week post-dose. RESULTS: The study will provide important preliminary data on the feasibility and efficacy of PAP in adults with treatment-resistant OCD, as well as inform our understanding of neurobiological mechanisms. CONCLUSIONS: The findings of the study will inform the design of larger randomised controlled trials and advance the field of psychedelic-assisted therapies.
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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 | 0.016 | 0.012 |
| Meta-epidemiology (narrow) | 0.005 | 0.002 |
| Meta-epidemiology (broad) | 0.007 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.043 | 0.012 |
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".