Postdischarge Outcomes of Adolescents Attending a Long-term Addiction Treatment Program
Bibliographic record
Abstract
Objectives: The purpose of this study was to: (1) describe the alcohol and other drug use patterns among adolescents discharged from a unique long-term semiresidential treatment program in Canada; (2) compare graduates and nongraduates on alcohol and other drug use, and 12-step program attendance; and (3) evaluate the relationship between psychosocial outcomes and continuous abstinence during the 2 years following discharge from the program (ie, obtaining education, becoming employed, maintaining a steady relationship with a significant other, and less involvement in deviant behaviors). Materials and Methods: Fifty individuals (41 treatment graduates and 9 treatment nongraduates) were interviewed by telephone after discharge. The time interval between discharge from treatment and study interview ranged from 2 to 9 years, with a median of 5 years. Additional data for 48 participants were obtained from administrative records at the treatment program. Results: Among the overall sample, 50.0% were abstinent for the first 2 years postdischarge, and maintaining abstinence for 2 years was more prevalent among program graduates than nongraduates (58.5% vs. 11.1%). Nearly all relapses involved alcohol or cannabis. With the exception of being in a serious relationship, continuous abstinence was unrelated to other psychosocial variables. Conclusions: This specialized, long-term residential program yielded high continuous abstinence rates for program graduates, but intensive support during and following treatment discharge for these young adults is warranted to improve educational attainment and employment prospects, and decrease deviant behaviors following discharge. Additional research is needed to more fully understand the long-term outcomes of adolescents attending community-based drug treatment programs.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".