Addiction Treatment Outcomes: Examining the Impact of an Inpatient Program for Substance Use Disorders and Concurrent Mental Distress
Bibliographic record
Abstract
Substance use disorders (SUDs) affect over 35 million individuals worldwide and are associated with significant harms. Residential treatment is an essential component of Canada’s approach to combating SUDs, offering highly intensive and specialized acute services. Historically, residential treatment facilities have quantified the success of their program(s) solely based on program completion. However, there has been a recent movement toward empirically evaluating programs using standardized measures of distress. The purpose of this study was to evaluate whether the inpatient residential program for SUDs at Edgewood Treatment Centre is effective in providing substantive improvement of a range of addiction and mental health symptoms. The current study assessed both addiction related and psychological outcomes. Specifically, we examined whether patients improved on various measures of functional impairment, addiction-related symptoms, traumatic stress, and psychological distress, following completion of the 7-week inpatient addiction program. Findings suggested that there were significant improvements in emotion regulation, and decreases in substance dependence, substance cravings, anxiety, depressive symptoms, and traumatic stress between admission and discharge.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".