Evidence map›Paper›PMID 41627660›Full record

ArticleJournal of general internal medicine2026

Patient Profiles of Buprenorphine Initiators in General Healthcare Settings: A Latent Class Approach.

Richard A Grucza, Joanne Salas, Kevin Y Xu, Jennifer K Bello, Sarah C Gebauer, Kirti Veeramachaneni, Fred Rottnek, Jeffrey F Scherrer

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Richard A GruczaDepartment of Family and Community Medicine, Saint Louis University School of Medicine, St. Louis, MO, USA. Richard.grucza@health.slu.edu.ORCID 0000-0002-8191-6875
Joanne SalasAdvanced HEAlth Data (AHEAD) Research Institute, Saint Louis University School of Medicine, St. Louis, MO , USA.
Kevin Y XuDivision of Addiction Science Prevention, and Treatment Research, Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Jennifer K BelloDepartment of Family and Community Medicine, Saint Louis University School of Medicine, St. Louis, MO, USA.
Sarah C GebauerDepartment of Family and Community Medicine, Saint Louis University School of Medicine, St. Louis, MO, USA.
Kirti VeeramachaneniDepartment of Family and Community Medicine, Saint Louis University School of Medicine, St. Louis, MO, USA.
Fred RottnekDepartment of Family and Community Medicine, Saint Louis University School of Medicine, St. Louis, MO, USA.
Jeffrey F ScherrerDepartment of Family and Community Medicine, Saint Louis University School of Medicine, St. Louis, MO, USA.

Funding

Washington University Career Development Program in Drug Abuse and AddictionK12DA041449 · NIDA · WASHINGTON UNIVERSITY · PI Laura J. Bierut, Patricia A Cavazos-Rehg · 2017 to 2026
$4.2M
A Preconception Health Intervention to Reduce Substance Exposed Pregnancies among Incarcerated WomenK23DA053433 · NIDA · SAINT LOUIS UNIVERSITY · PI Jennifer Bello Kottenstette · 2022 to 2026
$873k
Neighborhood Barriers and Facilitators to Walking, the Epidemiology of Knee Osteoarthritis and Developing Effective Exercise PrescriptionsK23AR079035 · NIAMS · SAINT LOUIS UNIVERSITY · PI Sarah Gebauer · 2022 to 2026
$787k
NIAMS NIH HHS K23 AR079035NIAMS NIH HHS K23AR079035NIDA NIH HHS K12 DA041449NIDA NIH HHS K23 DA053433NIDA NIH HHS NIH K23DA053433
6 · The paper itself

Abstract

backgroundBuprenorphine is the most commonly used medication for treating opioid use disorder (OUD). It may also be beneficial for individuals with chronic pain who are physically dependent on opioids but do not meet the criteria for OUD. Therefore, the buprenorphine patient population may be heterogeneous in terms of OUD and comorbidities.

objectivesTo characterize the heterogeneity of patient profiles among those initiating buprenorphine treatment in a large multi-state healthcare system, focusing on comorbid pain, psychiatric, and substance use disorder diagnoses, and other patient characteristics associated with profiles.

designRetrospective cohort study using electronic health record data. PARTCIPIPANTS: Patients with at least 12 months of data before a new buprenorphine prescription (OUD formulation) and at least 6 months of follow-up. MAIN MEASURES: Presence vs absence of opioid use disorder diagnoses and latent class profiles of comorbid diagnoses and clinical characteristics. Post-index outcomes, including the number of buprenorphine orders and incidence of drug-related poisoning, were assessed for each class. KEY

resultsIn a cohort of 5726 individuals (mean age 38.6 years, 56.2% female, 84.0% white), four latent classes were identified: (1) high multimorbidity burden; (2) moderate multimorbidity burden; (3) high rates of comorbid pain diagnoses but lower rates of psychiatric and substance use disorder diagnoses, with most patients lacking opioid use disorder diagnoses; (4) lower rates of pain diagnoses but high rates of comorbid psychiatric and substance use disorder diagnoses. Post-index measures aligned well with comorbidity profiles.

conclusionPatients receiving buprenorphine in general healthcare settings likely form a heterogeneous group. This includes a subgroup with low rates of opioid use disorder diagnoses (class 2, pain comorbidity), who may resemble chronic pain patients more than conventional OUD patients.

Indexed as

BuprenorphineChronic PainOpiate Substitution TreatmentOpioid-Related DisordersAdultAnalgesics, OpioidCohort StudiesComorbidityElectronic Health RecordsFemaleHumansLatent Class AnalysisMaleMental DisordersMiddle AgedRetrospective StudiesAnalgesics, OpioidBuprenorphineBuprenorphinechronic paincomorbiditymental healthopioidsopioid use disordersubstance use disorder

Identifiers

PMID41627660
PMCPMC13304395

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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.