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Effects of Buprenorphine Dose and Therapeutic Engagement on Illicit Opiate Use in Opioid Use Disorder Treatment Trials

Bibliographic Data

ID15469256
AuthorsAndrew W Bergen (0000-0002-1237-7644, Oregon Research Institute, corresponding author), James W Baurley (0000-0003-4116-7723, BioRealm (United States)), Carolyn M Ervin (BioRealm (United States)), Christopher S McMahan (0000-0001-5056-9615, Clemson University), Joe Bible (0000-0002-7010-5321, Clemson University), Randall S Stafford (0000-0003-1805-1271, Stanford University), Seshadri C Mudumbai (0000-0001-8486-9966, VA Palo Alto Health Care System), Andrew J Saxon (0000-0003-3880-2589, University of Washington)
Year2022
Volume19
Issue7
Pages4106-4106
Publication date2022-03-30
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19074106
PMID35409790
OpenAlexW4221114005
LanguageEN
Citations received1
References cited40

The impact of agonist dose and of physician, staff and patient engagement on treatment have not been evaluated together in an analysis of treatment for opioid use disorder. Our hypotheses were that greater agonist dose and therapeutic engagement would be associated with reduced illicit opiate use in a time-dependent manner. Publicly-available treatment data from six buprenorphine efficacy and safety trials from the Federally-supported Clinical Trials Network were used to derive treatment variables. Three novel predictors were constructed to capture the time weighted effects of buprenorphine dosage (mg buprenorphine per day), dosing protocol (whether physician could adjust dose), and clinic visits (whether patient attended clinic). We used time-in-trial as a predictor to account for the therapeutic benefits of treatment persistence. The outcome was illicit opiate use defined by self-report or urinalysis. Trial participants (N = 3022 patients with opioid dependence, mean age 36 years, 33% female, 14% Black, 16% Hispanic) were analyzed using a generalized linear mixed model. Treatment variables dose, Odds Ratio (OR) = 0.63 (95% Confidence Interval (95%CI) 0.59−0.67), dosing protocol, OR = 0.70 (95%CI 0.65−0.76), time-in-trial, OR = 0.75 (95%CI 0.71−0.80) and clinic visits, OR = 0.81 (95%CI 0.76−0.87) were significant (p-values < 0.001) protective factors. Treatment implications support higher doses of buprenorphine and greater engagement of patients with providers and clinic staff

Buprenorphine · Drug · Illicit drug · Naltrexone · Opiate · Opiate Substitution Treatment · Opioid · Opioid epidemic · Opioid use disorder · Opioid-Related Disorders · Psychiatry · Medicine · Opioid Use Disorder Treatment · Substance Abuse Treatment and Outcomes · Treatment of Major Depression · Internal Medicine · Pharmacology

  • Assessing Opioid Use Disorder Treatments in Trials Subject to Non-Adherence via a Functional Generalized Linear Mixed-Effects Model

    Open Access•Madeleine St Ville, Andrew W Bergen et al.•International Journal of…•2022

  • An Improved Diagnostic Evaluation Instrument for Substance Abuse Patients

    A Thomas McLellan, Lester Luborsky et al.•The Journal of Nervous and Mental…•1980

  • Medication-Assisted Therapies — Tackling the Opioid-Overdose Epidemic

    Nora D Volkow, Thomas R Frieden et al.•New England Journal of Medicine•2014

Citations per year0.25
Citation span2022 - 2022 (1)
Highly citedNo

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