Literature DB >> 30145707

Prevalence and Correlates of Unhealthy Alcohol and Drug Use Among Men Who Have Sex with Men Prescribed HIV Pre-exposure Prophylaxis in Real-World Clinical Settings.

Onyema Ogbuagu1, Brandon D L Marshall2, Perry Tiberio3, Adedotun Ogunbajo2, Lydia Barakat4, Madeline Montgomery5, Alexi Almonte5, Tyler Wray6, Emily C Williams7,8, E Jennifer Edelman9,10, Philip A Chan5,6.   

Abstract

Pre-exposure prophylaxis (PrEP) is effective in preventing HIV acquisition among men who have sex with men (MSM). However, little is known about unhealthy substance use among MSM initiating PrEP in real-world settings. Unhealthy substance use is a risk factor for HIV acquisition and non-adherence to treatment, and may also impact PrEP use. MSM who were prescribed PrEP from 2015 to 2017 at clinics in Providence, Rhode Island and New Haven, Connecticut were recruited to participate in a prospective observational study. Structured clinical assessments were used to assess demographics, HIV risk behaviors, and unhealthy alcohol (alcohol use disorders identification test [AUDIT]-C scores ≥ 4) and drug use (use of any drugs in the past 3 months). Bivariate and multivariate analyses were performed to determine demographics and behaviors associated with unhealthy alcohol and drug use. Among 172 MSM initiating PrEP, 64% were white and 40% were 25-34 years old. Participants reported a median of 3 (IQR 2-7) sexual partners in the last 3 months; 20% reported an HIV positive partner. Unhealthy alcohol and any drug use were reported by 54 and 57%, respectively, and 76% reported at least one of the two. The majority of drug use reported was marijuana and poppers (41 and 26% of participants, respectively). Relative to those without unhealthy alcohol use, unhealthy alcohol use was independently associated with any drug use (adjusted odds ratio [AOR] = 2.57, 95% CI 1.32-5.01). Frequent drug use was associated with younger age (< 25 years, AOR 4.27, 95% CI 1.51-12.09). Unhealthy alcohol use is common among MSM taking PrEP. Drug use other than marijuana and poppers was uncommon among our cohort. Further efforts may be needed to understand the influence of unhealthy alcohol and other substance use on PrEP outcomes and to engage MSM who use drugs for PrEP.

Entities:  

Keywords:  Alcohol; HIV; Implementation; Men who have sex with men; Pre-exposure prophylaxis

Mesh:

Substances:

Year:  2019        PMID: 30145707      PMCID: PMC7020905          DOI: 10.1007/s10461-018-2260-9

Source DB:  PubMed          Journal:  AIDS Behav        ISSN: 1090-7165


  42 in total

1.  Uptake of pre-exposure prophylaxis, sexual practices, and HIV incidence in men and transgender women who have sex with men: a cohort study.

Authors:  Robert M Grant; Peter L Anderson; Vanessa McMahan; Albert Liu; K Rivet Amico; Megha Mehrotra; Sybil Hosek; Carlos Mosquera; Martin Casapia; Orlando Montoya; Susan Buchbinder; Valdilea G Veloso; Kenneth Mayer; Suwat Chariyalertsak; Linda-Gail Bekker; Esper G Kallas; Mauro Schechter; Juan Guanira; Lane Bushman; David N Burns; James F Rooney; David V Glidden
Journal:  Lancet Infect Dis       Date:  2014-07-22       Impact factor: 25.071

2.  Willingness to use HIV pre-exposure prophylaxis among opiate users.

Authors:  Michael Stein; Portia Thurmond; Genie Bailey
Journal:  AIDS Behav       Date:  2014-09

3.  A single-question screening test for drug use in primary care.

Authors:  Peter C Smith; Susan M Schmidt; Donald Allensworth-Davies; Richard Saitz
Journal:  Arch Intern Med       Date:  2010-07-12

4.  Substance use disorders and the risk of HIV infection in gay men.

Authors:  C M Ryan; J Huggins; R Beatty
Journal:  J Stud Alcohol       Date:  1999-01

5.  HIV Disclosure and Transmission Risks to Sex Partners Among HIV-Positive Men.

Authors:  Seth C Kalichman; Moira O Kalichman; Chauncey Cherry; Tamar Grebler
Journal:  AIDS Patient Care STDS       Date:  2016-05       Impact factor: 5.078

6.  Binge drinking and risky sexual behavior among HIV-negative and unknown HIV status men who have sex with men, 20 US cities.

Authors:  Kristen L Hess; Pollyanna R Chavez; Dafna Kanny; Elizabeth DiNenno; Amy Lansky; Gabriela Paz-Bailey
Journal:  Drug Alcohol Depend       Date:  2014-12-23       Impact factor: 4.492

7.  Social Desirability Response Bias and Other Factors That May Influence Self-Reports of Substance Use and HIV Risk Behaviors: A Qualitative Study of Drug Users in Vietnam.

Authors:  Carl A Latkin; Nguyen Vu Tuyet Mai; Tran Viet Ha; Teerada Sripaipan; Carla Zelaya; Nguyen Le Minh; Giuliana Morales; Vivian F Go
Journal:  AIDS Educ Prev       Date:  2016-10

8.  Marijuana Use as a Sex-Drug is Associated with HIV Risk Among Black MSM and Their Network.

Authors:  Ethan Morgan; Britt Skaathun; Stuart Michaels; Lindsay Young; Aditya Khanna; Samuel R Friedman; Billy Davis; David Pitrak; John Schneider
Journal:  AIDS Behav       Date:  2016-03

9.  Poly drug use, chemsex drug use, and associations with sexual risk behaviour in HIV-negative men who have sex with men attending sexual health clinics.

Authors:  Janey Sewell; Ada Miltz; Fiona C Lampe; Valentina Cambiano; Andrew Speakman; Andrew N Phillips; David Stuart; Richard Gilson; David Asboe; Nneka Nwokolo; Amanda Clarke; Simon Collins; Graham Hart; Jonathan Elford; Alison J Rodger
Journal:  Int J Drug Policy       Date:  2017-02-10

Review 10.  Sexual Risk Behaviors and HIV Infection among Men Who Have Sex with Men and Women in China: Evidence from a Systematic Review and Meta-Analysis.

Authors:  Hong-Yi Wang; Jun-Jie Xu; Hua-Chun Zou; Kathleen Heather Reilly; Christiana Meng Zhang; Ke Yun; Yong-Ze Li; Yong-Jun Jiang; Wen-Qing Geng; Hong Shang; Ning Wang
Journal:  Biomed Res Int       Date:  2015-12-08       Impact factor: 3.411

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  8 in total

1.  Predicting the long-term impact of voluntary medical male circumcision on HIV incidence among men who have sex with men in Beijing, China.

Authors:  Chen Zhang; Glenn F Webb; Jie Lou; Brian E Shepherd; Han-Zhu Qian; Yu Liu; Sten H Vermund
Journal:  AIDS Care       Date:  2019-10-16

2.  A syndemic of psychosocial health problems is associated with increased HIV sexual risk among Nigerian gay, bisexual, and other men who have sex with men (GBMSM).

Authors:  Adedotun Ogunbajo; Temitope Oke; Harry Jin; William Rashidi; Stella Iwuagwu; Gary W Harper; Katie B Biello; Matthew J Mimiaga
Journal:  AIDS Care       Date:  2019-10-13

3.  Barriers and Facilitators to HIV Pre-Exposure Prophylaxis Uptake Among Men Who have Sex with Men Who Use Stimulants: A Qualitative Study.

Authors:  Adam Viera; Jacob J van den Berg; Collette D Sosnowy; Nikita A Mehta; E Jennifer Edelman; Trace Kershaw; Philip A Chan
Journal:  AIDS Behav       Date:  2022-03-18

4.  Cannabis use and sexual risk among MSM who drink: Understanding why more frequent cannabis users may engage in higher rates of condomless sex.

Authors:  Maria Jose Bustamante; Tibor P Palfai; Peter Luehring-Jones; Stephen A Maisto; Jeffrey S Simons
Journal:  Drug Alcohol Depend       Date:  2022-01-10       Impact factor: 4.492

5.  Protect MSM from HIV and other sexually transmitted diseases by providing mobile health services of partner notification: protocol for a pragmatic stepped wedge cluster randomized controlled trial.

Authors:  Xiangyu Yan; Yongjie Li; Hexuan Su; Yi Xing; Bo Zhang; Zuhong Lu; Zhongwei Jia
Journal:  BMC Public Health       Date:  2020-07-14       Impact factor: 3.295

Review 6.  Voluntary medical male circumcision and HIV infection among men who have sex with men: Implications from a systematic review.

Authors:  Chen Zhang; Han-Zhu Qian; Yu Liu; Sten H Vermund
Journal:  SAGE Open Med       Date:  2019-08-08

7.  mHealth for pre-exposure prophylaxis adherence by young adult men who have sex with men.

Authors:  Patricia Flynn Weitzman; Yi Zhou; Laura Kogelman; Sarah Rodarte; Sara Romero Vicente; Sue E Levkoff
Journal:  Mhealth       Date:  2021-07-20

Review 8.  Addressing Unhealthy Alcohol Use and the HIV Pre-exposure Prophylaxis Care Continuum in Primary Care: A Scoping Review.

Authors:  Benjamin J Oldfield; E Jennifer Edelman
Journal:  AIDS Behav       Date:  2020-11-20
  8 in total

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