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Record W7098850717

Brief Communication A National Survey of Primary Methamphetamine-Related Admissions to Youth Residential Substance Abuse Treatment Facilities in

2015· article· en· W7098850717 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicVaccine Coverage and Hesitancy
Canadian institutionsnot available
Fundersnot available
KeywordsSubstance abuse treatmentSubstance abuseSubstance useSuicide preventionPublic healthMethamphetamine
DOInot available

Abstract

fetched live from OpenAlex

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. (Can J Psychiatry 2007;52:684–688) Information on funding and support and author affiliations appears at the end of the article.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.917
Threshold uncertainty score0.167

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.137
GPT teacher head0.348
Teacher spread0.210 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2015
Admission routes1
Has abstractyes

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