Literature DB >> 31704382

Trajectory classes of opioid use among individuals in a randomized controlled trial comparing extended-release naltrexone and buprenorphine-naloxone.

Lesia M Ruglass1, Jennifer Scodes2, Martina Pavlicova3, Aimee N C Campbell4, Skye Fitzpatrick5, Celestina Barbosa-Leiker6, Kathleen Burlew7, Shelly F Greenfield8, John Rotrosen9, Edward V Nunes10.   

Abstract

OBJECTIVES: To advance our understanding of medication treatments for opioid use disorders (OUDs), identification of distinct subgroups and factors associated with differential treatment response is critical. We examined trajectories of opioid use for patients with OUD who were randomized to (but not in all cases inducted onto) buprenorphine-naloxone (BUP-NX) or extended-release naltrexone (XR-NTX), and identified characteristics associated with each trajectory.
METHODS: Growth mixture models (GMMs) were run to identify distinct trajectories of days of opioid use among a subsample of 535 individuals with OUD who participated in a 24-week randomized controlled trial (RCT; 2014-2016) of BUP-NX (n = 281) or XR-NTX (n = 254).
RESULTS: Four distinct opioid use trajectory classes were identified for BUP-NX (near abstinent/no use (59%); low use (13.2%); low use, increasing over time (15%); and moderate use, increasing over time (12.8%)). Three distinct opioid use trajectory classes were found for XR-NTX (near abstinent/no use (59.1%); low use (14.6%); and moderate use, increasing over time (26.4%)). Across both BUP-NX and XR-NTX, the near abstinent/no use class had the highest number of medical management visits. Within BUP-NX, the low use class had a greater proportion of individuals with a previous successful treatment history compared with other classes. Within XR-NTX, the moderate use, increasing over time class had the highest proportion of Hispanic participants compared with other classes.
CONCLUSIONS: Findings highlight the significant heterogeneity of opioid use during a RCT of BUP-NX and XR-NTX and factors associated with opioid use patterns including medical management visits and history of treatment success.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Buprenorphine-naloxone; Extended-release naltrexone; Growth mixture models; Opioid use disorder; Opioid use trajectories

Year:  2019        PMID: 31704382      PMCID: PMC6990451          DOI: 10.1016/j.drugalcdep.2019.107649

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  31 in total

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Authors:  Teodora Groshkova; David Best; William White
Journal:  Drug Alcohol Rev       Date:  2012-08-10

2.  The impact of non-concordant self-report of substance use in clinical trials research.

Authors:  C Brendan Clark; Cosmas M Zyambo; Ye Li; Karen L Cropsey
Journal:  Addict Behav       Date:  2016-02-17       Impact factor: 3.913

3.  Distinctive Trajectories of Opioid Use Over an Extended Follow-up of Patients in a Multisite Trial on Buprenorphine + Naloxone and Methadone.

Authors:  Yih-Ing Hser; David Huang; Andrew J Saxon; George Woody; Andrew L Moskowitz; Abigail G Matthews; Walter Ling
Journal:  J Addict Med       Date:  2017 Jan/Feb       Impact factor: 3.702

4.  Growth Mixture Modeling: A Method for Identifying Differences in Longitudinal Change Among Unobserved Groups.

Authors:  Nilam Ram; Kevin J Grimm
Journal:  Int J Behav Dev       Date:  2009

5.  Concordance between self-report and urine drug screen data in adolescent opioid dependent clinical trial participants.

Authors:  Claire E Wilcox; Michael P Bogenschutz; Masato Nakazawa; George Woody
Journal:  Addict Behav       Date:  2013-06-13       Impact factor: 3.913

6.  Continuous opioid substitution treatment over five years: Heroin use trajectories and outcomes.

Authors:  Brian Eastwood; John Strang; John Marsden
Journal:  Drug Alcohol Depend       Date:  2018-05-16       Impact factor: 4.492

7.  Measurement properties of the EQ-5D-5L compared to the EQ-5D-3L across eight patient groups: a multi-country study.

Authors:  M F Janssen; A Simon Pickard; Dominik Golicki; Claire Gudex; Maciej Niewada; Luciana Scalone; Paul Swinburn; Jan Busschbach
Journal:  Qual Life Res       Date:  2012-11-25       Impact factor: 4.147

Review 8.  Disparities in Latino substance use, service use, and treatment: implications for culturally and evidence-based interventions under health care reform.

Authors:  Erick G Guerrero; Jeanne C Marsh; Tenie Khachikian; Hortensia Amaro; William A Vega
Journal:  Drug Alcohol Depend       Date:  2013-08-02       Impact factor: 4.492

9.  Evaluation of Analysis Approaches for Latent Class Analysis with Auxiliary Linear Growth Model.

Authors:  Akihito Kamata; Yusuf Kara; Chalie Patarapichayatham; Patrick Lan
Journal:  Front Psychol       Date:  2018-02-22

10.  Access to mental health treatment by English language proficiency and race/ethnicity.

Authors:  Tetine Sentell; Martha Shumway; Lonnie Snowden
Journal:  J Gen Intern Med       Date:  2007-10-24       Impact factor: 5.128

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2.  Predictors of therapeutic alliance, treatment feedback, and clinical outcomes among African American women in treatment for co-occurring PTSD and SUD.

Authors:  Alexandria G Bauer; Lesia M Ruglass; Alina Shevorykin; Tanya C Saraiya; Gabriella Robinson; Kechna Cadet; Lovelyne Julien; Thomas Chao; Denise Hien
Journal:  J Subst Abuse Treat       Date:  2022-03-22

3.  Health-related quality of life and opioid use disorder pharmacotherapy: A secondary analysis of a clinical trial.

Authors:  Ali Jalali; Danielle A Ryan; Philip J Jeng; Kathryn E McCollister; Jared A Leff; Joshua D Lee; Edward V Nunes; Patricia Novo; John Rotrosen; Bruce R Schackman; Sean M Murphy
Journal:  Drug Alcohol Depend       Date:  2020-08-05       Impact factor: 4.492

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