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Record W4411360198 · doi:10.1080/07448481.2025.2520371

Access to substance use services on campus: What’s available in Ontario, Canada’s post-secondary institutions

2025· article· en· W4411360198 on OpenAlexaffabout
Chelsea Noël, Christopher Armiento, Deborah M. Scharf

Bibliographic record

VenueJournal of American College Health · 2025
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsTrillium Health CentreLakehead University
Fundersnot available
KeywordsSubstance useCollege healthSubstance abuseBusinessMedicinePsychologyMedical educationFamily medicinePsychiatry

Abstract

fetched live from OpenAlex

Objective: To examine substance use services available to post-secondary students in Ontario, Canada. Participants: All 23 universities and 24 public colleges in the province. Methods: Researchers coded substance use service information on institutional websites and social media. Mental health service information was also described in case substance use services were embedded in general mental healthcare. Chi-square tests evaluated relationships between institution size and substance use service availability. Results: Most institutions provided students with access to mental health services (counseling [96%], psychoeducational resources [83%], crisis services [91%]), either directly through institutions (62%) or through partnerships with external professionals (38%). Only 38% of any counseling service and 34% of psychoeducational resources specifically addressed substance use. Conclusions: Low rates of substance use-specific services at Ontario post-secondary institutions suggest that institutions are not meeting students’ substance use needs. Integrated services and specialized training for mental health professionals are essential to address substance use among post-secondary students.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.034
GPT teacher head0.317
Teacher spread0.283 · 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

Citations2
Published2025
Admission routes2
Has abstractyes

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