Literature DB >> 35257397

Longitudinal analysis of the prevalence and correlates of heavy episodic drinking and self-reported opioid use among a national cohort of patients with HIV.

Benjamin J Oldfield1,2, Yu Li3, Rachel Vickers-Smith4, Declan T Barry2, Stephen Crystal5, Kirsha S Gordon2,6, Robert D Kerns2,6, Emily C Williams7,8, Brandon D L Marshall3, E Jennifer Edelman2,9.   

Abstract

BACKGROUND: Heavy episodic drinking (HED) is a risk factor for opioid-related overdose and negatively impacts HIV disease progression. Among a national cohort of patients with HIV (PWH), we examined sociodemographic and clinical correlates of concomitant HED and self-reported opioid use.
METHODS: We used data collected from 2002 through 2018 from the Veterans Aging Cohort Study, a prospective cohort including PWH in care at eight US Veterans Health Administration sites. HED was defined as consuming six or more drinks at least once in the year prior to survey collection. We examined the relationship between HED and self-reported opioid use and created a 4-level composite variable of HED and opioid use. We used multinomial logistic regression to estimate odds of reporting concomitant HED and self-reported opioid use.
RESULTS: Among 3702 PWH, 1458 (39.4%) reported HED during the study period and 350 (9.5%) reported opioid use. In the multinomial model, compared to reporting neither HED nor opioid use, lifetime housing instability (adjusted odds ratio [aOR] 1.54, 95% confidence interval [CI] 1.01 to 2.35), Veterans Aging Cohort Study Index 2.0 (a measure of disease severity; aOR 1.14, 95% CI 1.02 to 1.28), depressive symptoms (aOR 2.27, 95% CI 1.42 to 3.62), past-year cigarette smoking (aOR 3.06, 95% CI 1.53 to 6.14), cannabis use (aOR 1.69, 95% CI 1.09 to 2.62), and cocaine/stimulant use (aOR 11.54, 95% CI 7.40 to 17.99) were independently associated with greater odds of concomitant HED and self-reported opioid use. Compared to having attended no college, having some college or more (aOR 0.39, 95% CI 0.26 to 0.59) was associated with lower odds of concomitant HED and self-reported opioid use.
CONCLUSIONS: Among PWH, concomitant HED and self-reported opioid use are more common among individuals with depressive symptoms and substance use, structural vulnerabilities, and greater illness severity. Efforts to minimize opioid-related risk should address high-risk drinking as a modifiable risk factor for harm among these groups.
© 2022 by the Research Society on Alcoholism.

Entities:  

Keywords:  alcohol-related disorders; cohort studies; drug overdose; human immunodeficiency virus; opioid-related disorders

Mesh:

Substances:

Year:  2022        PMID: 35257397      PMCID: PMC9018502          DOI: 10.1111/acer.14801

Source DB:  PubMed          Journal:  Alcohol Clin Exp Res        ISSN: 0145-6008            Impact factor:   3.928


  58 in total

1.  Transcending the known in public health practice: the inequality paradox: the population approach and vulnerable populations.

Authors:  Katherine L Frohlich; Louise Potvin
Journal:  Am J Public Health       Date:  2008-01-02       Impact factor: 9.308

2.  Deaths: Final Data for 2016.

Authors:  Jiaquan Xu; Sherry L Murphy; Kenneth D Kochanek; Brigham Bastian; Elizabeth Arias
Journal:  Natl Vital Stat Rep       Date:  2018-07

3.  HIV Disease Severity Is Sensitive to Temporal Changes in Alcohol Use: A National Study of VA Patients With HIV.

Authors:  Emily C Williams; Kathleen A McGinnis; Janet P Tate; Theresa E Matson; Anna D Rubinsky; Jennifer F Bobb; Gwen T Lapham; E Jennifer Edelman; Sheryl L Catz; Derek D Satre; Kendall J Bryant; Brandon D L Marshall; Kevin L Kraemer; Kara M Bensley; Julie E Richards; Melissa Skanderson; Amy C Justice; David A Fiellin; Katharine A Bradley
Journal:  J Acquir Immune Defic Syndr       Date:  2019-08-01       Impact factor: 3.731

4.  Longitudinal data analysis for discrete and continuous outcomes.

Authors:  S L Zeger; K Y Liang
Journal:  Biometrics       Date:  1986-03       Impact factor: 2.571

Review 5.  HIV infection and risk of overdose: a systematic review and meta-analysis.

Authors:  Traci C Green; Samuel K McGowan; Michael A Yokell; Enrique R Pouget; Josiah D Rich
Journal:  AIDS       Date:  2012-02-20       Impact factor: 4.177

6.  HIV primary care providers--Screening, knowledge, attitudes and behaviors related to alcohol interventions.

Authors:  Geetanjali Chander; Anne K Monroe; Heidi M Crane; Heidi E Hutton; Michael S Saag; Karen Cropsey; Joseph J Eron; E Byrd Quinlivan; Elvin Geng; William Christopher Mathews; Stephen Boswell; Benigno Rodriquez; Megan Ellison; Mari M Kitahata; Richard D Moore; Mary E McCaul
Journal:  Drug Alcohol Depend       Date:  2016-01-29       Impact factor: 4.492

7.  Veterans Aging Cohort Study (VACS): Overview and description.

Authors:  Amy C Justice; Elizabeth Dombrowski; Joseph Conigliaro; Shawn L Fultz; Deborah Gibson; Tamra Madenwald; Joseph Goulet; Michael Simberkoff; Adeel A Butt; David Rimland; Maria C Rodriguez-Barradas; Cynthia L Gibert; Kris Ann K Oursler; Sheldon Brown; David A Leaf; Matthew B Goetz; Kendall Bryant
Journal:  Med Care       Date:  2006-08       Impact factor: 2.983

Review 8.  Risks, management, and monitoring of combination opioid, benzodiazepines, and/or alcohol use.

Authors:  Jeffrey A Gudin; Shanthi Mogali; Jermaine D Jones; Sandra D Comer
Journal:  Postgrad Med       Date:  2013-07       Impact factor: 3.840

9.  Post-traumatic stress disorder and risky opioid use among persons living with HIV and chronic pain.

Authors:  Elenore Bhatraju; Jane M Liebschutz; Sara Lodi; Leah S Forman; Marlene C Lira; Theresa W Kim; Jonathan Colasanti; Carlos Del Rio; Jeffrey H Samet; Judith I Tsui
Journal:  AIDS Care       Date:  2021-02-04

10.  Overdose Deaths Involving Opioids, Cocaine, and Psychostimulants - United States, 2015-2016.

Authors:  Puja Seth; Lawrence Scholl; Rose A Rudd; Sarah Bacon
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2018-03-30       Impact factor: 17.586

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