A Unique Model for Adolescent Addiction Treatment: A Description of the Alberta Adolescent Recovery Centre
Bibliographic record
Abstract
Objectives: Substance use disorders among adolescents are a serious concern in both the United States and Canada. In recent years, strides have been made in our understanding of how to effectively treat these disorders. However, there remains a need to understand how successful treatment approaches for adolescents can be integrated into comprehensive treatment models. This article presents a case study of a comprehensive, multidimensional adolescent treatment program, the Alberta Adolescent Recovery Centre (AARC). Materials and Methods: Data on treatment completion were obtained by reviewing the records for the 297 adolescents who completed a preintake assessment or who entered treatment at AARC between 2008 and 2012. Results: AARC is a comprehensive, long-term, semiresidential treatment program for adolescents with a substance use disorder that integrates 12-step-based individual and group therapy, family-based therapy, the use of peer counselors and family-run recovery homes, and continuing care. During this 5-year period, 149 adolescents entered treatment at AARC, and 120 (80.5%) completed the program. The median length of stay among graduates was 277 days. The most common reasons for leaving before treatment completion were parents choosing to end treatment and the client displaying a level of substance use problems that was not severe enough to warrant treatment at AARC. Conclusions: The AARC program is a unique model for comprehensive, long-term adolescent substance use treatment with a high rate of treatment completion. Further research is needed to evaluate the long-term effectiveness of AARC and if successful, how this treatment model can be transferred and adapted to other settings.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".