Adolescent Use of Prescription Drugs to Get High in Canada
Bibliographic record
Abstract
OBJECTIVE: To present epidemiologic information on adolescent use of prescription drugs to get high, and not for medical purposes, in Canada. METHODS: Data were obtained from 44 344 adolescents in grades 7 to 12 living across Canada's 10 provinces who completed the Youth Smoking Survey in 2008/2009. RESULTS: Nationally, 5.9% of adolescents in grades 7 to 12 reported the use of prescription drugs to get high in the past 12 months in 2008/2009. Females were more likely to report use of pain relievers, sedatives, or tranquilizers to get high, while males were more likely to report the use of prescription stimulants for this purpose. The use of prescription drugs to get high was elevated among older youth, those living in British Columbia, and those who identified as First Nations, Métis, or Inuit. School connectedness was associated with a reduction in this form of prescription drug misuse for all adolescents; however, this protective effect was particularly strong for Aboriginal youth, and may be an important preventative factor for this population. CONCLUSIONS: Use of prescription drugs to get high was prevalent among adolescents in Canada in 2008/2009. Findings highlight the need for clinicians to include questions about prescription drugs when screening adolescents for substance abuse in Canada. Findings also highlight the need for evidence-informed strategies to reduce prescription drug misuse among Aboriginal youth living outside First Nations communities in Canada. The results of this study suggest school connectedness may be a particularly important target for these interventions.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".