A case report on the treatment of complex chronic pain and opioid dependence by a multidisciplinary transitional pain service using the ACT Matrix and buprenorphine/naloxone
Bibliographic record
Abstract
In an era of growing concern about opioid prescribing, the postsurgical period remains a critical window with the risk of significant opioid dose escalation, particularly in patients with a history of chronic pain and presurgical opioid use. The purpose of this case report is to describe the multidisciplinary care of a complex, postsurgical pain patient by an innovative transitional pain service (TPS). A 59-year-old male with complex chronic pain, as well as escalating long-term opioid use, presented with a bleeding duodenal ulcer requiring emergency surgery. After surgery, the TPS provided integrated pharmacological and behavioral treatment, including buprenorphine combined with naloxone and acceptance and commitment therapy (ACT) using the ACT Matrix. The result was dramatic pain reduction and improved functioning and quality of life after 40+ years of chronic pain, thus changing the pain trajectory of a chronic, complex, opioid-dependent patient.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".