ArticleJournal of substance use and addiction treatment2026
Tailoring of a chronic pain self-management intervention for individuals with opioid use disorder in office-based addiction treatment.
Article in Journal of substance use and addiction treatment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors.
Funding
Abstract
introductionOffice-based opioid treatment with buprenorphine for opioid use disorder (OBOT-BUP) is most effective when patients are retained in treatment long-term, but average treatment duration is less than 6 months. Up to two thirds of individuals with opioid use disorder (OUD) have chronic pain. Treatment of chronic pain in OBOT-BUP settings could improve retention in OBOT-BUP programs. Therefore, this study qualitatively assessed how to tailor pain self-management (PSM) to people with co-occurring chronic pain and OUD in OBOT-BUP settings.
methodsThis study takes a Qualitative Description approach to data collection and interpretation. We conducted semi-structured qualitative interviews with 61 participants (23 clinicians/clinic staff and 38 patients) at OBOT-BUP clinics regarding experiences with chronic pain and its treatment, experiences with opioid use disorder and its treatment, and their thoughts the desirability, feasibility, and modification of a previously developed PSM program for patients with comorbid chronic pain and opioid use disorder. Interviews were coded using a primarily inductively developed codebook, and coding was used to conduct a thematic analysis of interview transcripts.
resultsParticipants generally reacted positively to the PSM program as presented. We identified 4 themes in the data that could affect implementation of PSM, and/or that suggested modifications that should be made to the program. (1) Patients reported relying on a wide array of treatment modalities, bolstering the case for use of PSM, but also sometimes expressing resistance to the idea if past attempts at PSM components had been unsuccessful. (2) Patients' prior experiences of stigma related to OUD negatively impacted willingness to participate in a PSM intervention. (3) Effective pain management using buprenorphine was regarded as a vital companion to PSM in patients with chronic pain and OUD. (4) Participants identified several aspects of PSM implementation that would be important, including individual sessions, peer-led group sessions, and remote visits.
conclusionsParticipants reported interest in PSM, but also reluctance based in concerns about efficacy and/or fear of stigma. We identified several strategies to respond to these concerns, including positioning PSM as an evidence-based strategy that works adjunctive to buprenorphine, and directly addressing pain/OUD stigma.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.