Cannabis Use and Mental Health Among Youth: Epidemiology, Population Interventions, and Health Promotion in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
While cannabis is legalized in Canada, there are mental health risks associated with its use among youth aged 15-24. Youth in this age group are especially vulnerable to developing cannabis use disorders, and early initiation of cannabis use during adolescence is significantly associated with developing mental health conditions such as psychosis and schizophrenia. Public health strategies can be improved by complementing the current abstinence approach for non-users with a harm reduction approach for already-users to destigmatize help-seeking behaviour for those who require support. This narrative review highlights cannabis epidemiology, evaluates current public health strategies, and emphasizes cross-sectoral collaboration as a systemic mechanism for achieving health promotion among youth in Canada. Finally, the author provides commentary on the potential role of the COVID-19 pandemic in influencing trends and patterns related to cannabis use and health promotion campaigns.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it