Brief Intervention Experiences of Young High-Frequency Cannabis Users in a Canadian Setting
Bibliographic record
Abstract
High-frequency cannabis use is prevalent among young adults and has been linked to negative health consequences, yet effective therapeutic interventions are currently limited. Brief Interventions (BIs) for problematic substance use have shown promise, but are typically limited to quantitative outcome measures. This study aims to document the qualitative experiences of young, high-frequency cannabis users with BIs. Sixty-two high-frequency cannabis users, recruited from university student populations, participated in one of two newly developed cannabis BIs and were surveyed qualitatively at the 3-month post-intervention follow-up. Results show that 69.4% of the respondents believed they had undergone changes in actions/thinking/attitudes regarding their cannabis use, with diversion to potentially less harmful cannabis use patterns—including reductions in the frequency/quantity of use and declines in deep-inhalation/breath-holding techniques—being reported. Findings suggest that a personalized, interactive, culturally appropriate format may be a promising BI template for this population. Future qualitative research on BI experiences is urgently needed.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".