Massage Impact on Pain in Opioid-dependent Patients in Substance Use Treatment
Bibliographic record
Abstract
BACKGROUND: Chronic pain is a common cause of health care utilization and high levels of pain are pronounced in individuals engaged in methadone maintenance treatment. Although massage has been demonstrated to alleviate chronic pain symptoms, its use as an adjunctive therapy to modify pain during opioid-replacement treatment is absent from the literature. PURPOSE: To consider the efficacy of Swedish massage in reducing pain in opioid-dependent patients with chronic pain receiving methadone treatment. SETTING: Trial was conducted at a nonprofit methadone treatment center serving low-income patients. RESEARCH DESIGN: A randomized clinical trial with randomized to either 1) massage plus treatment-as-usual (TAU) (n = 27) or 2) TAU (n = 24). Durability of treatment effect was evaluated at Week 12. INTERVENTION: Eight weekly 50-minute Swedish massage sessions plus TAU or TAU alone. MAIN OUTCOME MEASURES: Pain, anxiety, depression, physical functioning, decreased substance use, and improvement in treatment engagement. RESULTS: Randomized participants were comparable at Baseline for demographic, pain, physical, and emotional variables. Massage group reported improved pain scores; worst pain had a clinically significant 2-point improvement while the other pain scores did not. Overall improvements were not observed in treatment engagement or levels of anxiety, depression, or physical functioning. A subgroup of the participants, who felt they could be pain-free, consistently reported improvements in pain from Baseline to Week 8, and this was most pronounced and clinically significant in the massage group. CONCLUSIONS: These preliminary findings do not support an overall clinically significant positive effect of Swedish massage on reduction in pain ratings or improvement in anxiety, depression, or treatment engagement in a substance-using, opioid-dependent population with chronic pain. Future nonpharmacologic pain research in marginalized substance-using populations may wish to consider some of the challenges and limitations faced in this project.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".