MétaCan
Menu
Back to cohort
Record W4401432739 · doi:10.1177/20451253241264812

Exploring psychedelic use in athletes and their attitudes toward psilocybin-assisted therapy in concussion recovery

2024· article· en· W4401432739 on OpenAlexafffundabout
Baeleigh VanderZwaag, Albert Garcia‐Romeu, Mauricio A. García-Barrera

Bibliographic record

VenueTherapeutic Advances in Psychopharmacology · 2024
Typearticle
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsUniversity of Victoria
FundersNatural Sciences and Engineering Research Council of CanadaNational Institutes of HealthHeffter Research InstituteSteven and Alexandra Cohen FoundationJohns Hopkins University
KeywordsPsilocybinAthletesMoodHallucinogenConcussionCognitionPsychologyPsychiatryClinical psychologyDepression (economics)PsychotherapistMedicinePoison controlPhysical therapyInjury prevention

Abstract

fetched live from OpenAlex

Background: Psychedelics are receiving growing interest among clinical researchers for their effects on mood and cognition. Psilocybin is one of the most widely studied classic psychedelics which has shown good safety and clinical benefit for major depression and substance use disorders. Athletes frequently sustain concussions and often experience myriad symptoms, including cognitive and mood issues, which can persist for weeks or months in 10%-30% of athletes. Psilocybin may be a potential symptom management option for athletes with persisting concussion symptoms. Objectives: This study sought to summarize athlete psychedelic use, among other substances, and to examine the willingness of the sports community to engage in or support psilocybin-assisted therapy (PAT) for concussion recovery and management of persisting concussion symptoms. Methods: = 90 staff) respondents completed an online survey distributed in Canada and the United States which queried sport involvement and demographics, substance use, concussion history, and knowledge and willingness about psilocybin. The reporting of this study conforms to the Checklist for Reporting Results of Internet E-Surveys (CHERRIES) statement. Design: Substance use rates were summarized across athletes and team staff members and a path analysis was used for each sample to identify predictors of willingness to use PAT (athletes) or support PAT (staff) for concussion recovery. Participants were also asked to identify perceived barriers to the implementation of PAT for sports-related concussions, and to indicate their overall willingness. Results: Psychedelics were the third most used substance in the past year among athletes (35.8%) while regular psychedelic use was quite low in athletes (7.5%). A path analysis conducted in RStudio found that attitudes toward psilocybin and knowledge of psilocybin were significant predictors for both athletes and staff members of their willingness to use or support PAT for concussion recovery. Athletes reported likely engaging in PAT (61.2%) and staff (71.1%) reported that they would support their athletes using PAT. Conclusion: The results of this study suggest that the sports community may be receptive to PAT and athletes would be willing to engage in it for concussion recovery and/or the management of persisting post-concussion symptoms (PPCS). Future research should examine the effects of psilocybin for PPCS to inform whether there is any impact while addressing concerns regarding long-term effects of psilocybin use.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.193
GPT teacher head0.423
Teacher spread0.230 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations8
Published2024
Admission routes3
Has abstractyes

Explore more

Same venueTherapeutic Advances in PsychopharmacologySame topicPsychedelics and Drug StudiesFrench-language works237,207