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Record W4409838180 · doi:10.1177/00220426251338187

University Students’ Motives for Psilocybin Use: A Mixed-Methods Analysis

2025· article· en· W4409838180 on OpenAlexaff
Shayla Frinton, Jill O. Robinson

Bibliographic record

VenueJournal of Drug Issues · 2025
Typearticle
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPsilocybinPsychologyMathematics educationHallucinogenPsychiatry

Abstract

fetched live from OpenAlex

Motives are a highly influential force in substance use and vary depending on the substance or dose being used. Little research has compared motives across different doses of psilocybin. Psilocybin is often ingested in microdoses (0.1–0.4 g) or macrodoses (1 g+), each producing unique perceptual and mood effects. The current study examined whether motives for microdose and macrodose psilocybin use differ. An online survey was employed to examine differences in motives using an adapted Marijuana Motives Measure. A thematic analysis was conducted to further explore motives for each dose, and to determine if motives differ for initiating and continuing psilocybin use. As hypothesized, there were statistically significant differences in motives for microdose and macrodose use ( p < .001). Qualitative results also indicated differences in motives depending on dosage, and differences in reasons for initiating and continuing use. These findings have important implications for harm reduction and public policy.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score0.482

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.456
Teacher spread0.423 · 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 designObservational
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

Citations0
Published2025
Admission routes1
Has abstractyes

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