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Record W4414123080 · doi:10.1556/2054.2025.00364

Behavioural investigations of psilocybin in non-human animals 1962–2021: A scoping review

2025· review· en· W4414123080 on OpenAlexaff
Ron Shore, K. Dobson, Nina Thomson, Nigel Barnim, Hailey Bergman, Katie Rideout, Sandra McKeown, Mary C. Olmstead, Craig Goldie, Éric C. Dumont

Bibliographic record

VenueJournal of Psychedelic Studies · 2025
Typereview
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsKingston Health Sciences CentreQueen's University
Fundersnot available
KeywordsPsilocybinGrey literatureModalitiesSystematic reviewMEDLINEAdverse effectProtocol (science)

Abstract

fetched live from OpenAlex

Abstract Background and Aims Psilocybin is a psychedelic compound that may hold promise for a wide range of human health conditions, yet the identification of therapeutic processes and mechanisms of action remains exploratory. We conducted a scoping review of pre-clinical behavioural investigations of psilocybin in non-human animals to identify behavioural effects, studies completed, behavioural tests employed, and what dosing modalities had been studied. Methods A librarian-conducted literature search was performed using predefined key terms and search criteria and additional searching was conducted by reviewers using electronic databases, grey literature sources, and reference lists of relevant articles or reviews. The final search updated occurred in October, 2021. Studies were reviewed, screened and selected against an a priori protocol using Covidence software by multiple reviewers with results plotted across the Research Domains Criteria construct. Results From 4,124 records identified by database searching, 260 publications were subjected to full-text review with 77 studies included in this scoping review, published between 1962 and 2021. The preponderance of studies ( n = 64) investigated behavioural outcomes in rodents. Only 43 studies (55.8%) reported on housing conditions, and seventeen studies (22.1%) failed to report sample size. All studies reported behavioural outcomes following drug administration, with fifty-one studies (66.2%) using psilocybin, thirty studies (42.9%) psilocin, four studies (5.2%) administering whole mushroom extracts (WME), and a further eight studies investigating both psilocybin and psilocin and one study reporting the effects of both psilocin and WME. One hundred and thirty distinct behavioural investigations using fifty different behavioral paradigms were identified. Few adverse events were reported, and even exceedingly high doses were apparently well tolerated. Conclusion With seventy-seven publications spanning close to sixty years, there is significant variation in study design and quality. Overall, psilocybin presents a unique and strong safety profile with no found evidence of biological toxicity. Psilocybin treatment was characterized by unique time and dose-dependent effects; pattern of drug action appears significantly context and training-sensitive. Data suggest effects of psilocybin to include acute arousal, dose-dependent sedation, reductions in fear conditioning at low doses, reduced aggression, improved valence, acute disruption of working memory, the rescuing of deficits from chronic stress, and improved learning when combined with repeated environmental exposure after resolution of drug effect.

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 imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.045
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.020
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.045
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0200.017
Science and technology studies0.0010.002
Scholarly communication0.0040.004
Open science0.0020.002
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.311
GPT teacher head0.568
Teacher spread0.258 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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
Published2025
Admission routes1
Has abstractyes

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