A Solution-Focused Brief Therapy Stance on Long-Term Experiences Without Opioid Use: An Interpretive Phenomenological Analysis
Bibliographic record
Abstract
Opioid consumption is a current health crisis in the United States. Dydyk and colleagues. (2024) estimated that over two million Americans struggled with opioids in 2022 causing an average of 224 daily deaths due to overdose. Existing research suggests that individuals recovering from opioid use have a 65-70% relapse rate. Using an Interpretative Phenomenological Analysis (IPA) design, the authors explored the life experiences of five individuals with at least 10 years without opioid use. The authors embraced a solution-focused brief therapy (SFBT) framework to discuss the skills, behaviors, resources, and other contributing factors that assisted the participants in achieving their preferred futures. This study aims to provide SFBT and other therapists with insight into lasting experiences to help enhance their practice with opioid use.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".