A National Survey of Primary Methamphetamine-Related Admissions to Youth Residential Substance Abuse Treatment Facilities in Canada, 2005 to 2006
Bibliographic record
Abstract
OBJECTIVE: Adolescent methamphetamine use has become a key issue for Canadian media and governments. Empirical studies, however, have not yet established the national scope of adolescent methamphetamine use or its impact on treatment services in Canada. The objective of the current study was to provide results from a national survey of primary methamphetamine-related admissions to Canadian residential substance abuse treatment facilities for youth. METHOD: We developed a comprehensive list of all Canadian residential substance abuse treatment facilities for youth, and then, we asked the executive director (or equivalent) of each facility about the site's annual caseload and the proportion of primary methamphetamine-related admissions during the previous 12 months. RESULTS: Responses were received from 46 of the 50 centres on our final master list. About 20% (1109/5169) of all national admissions to youth residential substance abuse treatment facilities were reported to be primarily due to methamphetamine use. A large majority of primary methamphetamine-related admissions occurred in British Columbia and Alberta. CONCLUSIONS: Adolescent methamphetamine use has had a major impact on entries into residential substance abuse treatment facilities in British Columbia and Alberta, while only a few centres outside these 2 western provinces have experienced elevated rates of primary methamphetamine-related admissions. Given the paucity of studies on adolescent methamphetamine treatment, future research needs to focus on developing effective clinical strategies in this area.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".