Does being drunk or high cause HIV sexual risk behavior? A systematic review of drug administration studies

Berry, Meredith S.; Johnson, Matthew W.

doi:10.1016/j.pbb.2017.08.009

Cited by 78 publications

(65 citation statements)

References 95 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…First, an expert panel evaluating 20 drugs of abuse via multi‐criteria decision analysis rated major stimulants as having among the greatest dependence potential and impairment on mental functioning . Second, major stimulant use may be associated more with risky sexual behavior than other drug use , which suggests a particularly robust relationship with impulsivity. Indeed, in a study of more than 25 000 individuals under community corrections supervision, cocaine use disorder was the strongest predictor of supervision failure among 15 predictors that also included cannabis use disorder, alcohol use disorder and opiate use disorder, among other SUDs .…”

Section: Discussionmentioning

confidence: 99%

Dropout rates of in‐person psychosocial substance use disorder treatments: a systematic review and meta‐analysis

2019

View full text Add to dashboard Cite

Background and Aims Relapse rates for psychosocial substance use disorder (SUD) treatments are high, and dropout is a robust predictor of relapse. This study aimed to estimate average dropout rates of in-person psychosocial SUD treatments and to assess predictors of dropout. Design A comprehensive meta-analysis of dropout rates of studies of in-person psychosocial SUD treatment. Studies included randomized controlled trials (RCTs) and cohort studies. Setting Studies conducted anywhere in the world that examined SUD treatment and were published from 1965 to 2016, inclusive. Participants/casesOne hundred and fifty-one studies, 338 study arms and 299 dropout rates including 26 243 participants. Measurements Databases were searched for studies of SUD treatment that included an in-person psychosocial component. Meta-analyses and meta-regressions were conducted to estimate dropout rates and identify predictors of dropout, including participant characteristics, facilitator characteristics and treatment characteristics. Pooled estimates were calculated with random-effects analyses accounting for the hierarchical structure of study arms nested within studies. Findings The average dropout rate across all studies and study arms was 30.4% [95% confidence interval (CI) = 27.2-33.8 and 95% prediction interval (PI) = 6.25-74.15], with substantial heterogeneity (I 2 = 93.7%, P < 0.0001). Studies including a higher percentage of African Americans and lower-income individuals were associated with higher dropout rates. At intake, more cigarettes/day and a greater percentage of heroin use days were associated with lower dropout rates, whereas heavier cocaine use was associated with higher dropout rates. Dropout rates were highest for studies targeting cocaine, methamphetamines and major stimulants (broadly defined) and lowest for studies targeting alcohol, tobacco and heroin, although there were few studies on methamphetamines, major stimulants and heroin. Programs characterized by more treatment sessions and greater average session length were associated with higher dropout rates. Facilitator characteristics were not significantly associated with dropout. Conclusions On average, approximately 30% of participants drop out of in-person psychosocial SUD treatment studies, but there is wide variability. Dropout rates vary with the treated population, the substance being targeted, and the characteristics of the treatment.

show abstract

Section: Discussionmentioning

confidence: 99%

Dropout rates of in‐person psychosocial substance use disorder treatments: a systematic review and meta‐analysis

2019

View full text Add to dashboard Cite

show abstract

“…(18) Additionally, the association of SU with CS has been found to vary substantially by gender and partner characteristics, (21) HIV status, (22) nature of relationship (i.e. primary vs. casual vs. transactional), (23) substance type, (11,(23)(24)(25)(26)(27) number of substances used, (28) combination of substances used, (22,29) and pattern of substance use. (11,23) To better understand the relationship between SU and CS, we analyzed CS among heterosexual individuals in the context of SU, derived from the harmonized dataset of the National Institute of Drug Abuse (NIDA) Seek, Test, Treat, and Retain (STTR) HIV-prevention and treatment research initiative.…”

Section: Introductionmentioning

confidence: 99%

Individual and Poly-Substance use and Condomless Sex Among HIV-Uninfected Adults Reporting Heterosexual Sex in a Multi-Site Cohort

Fredericksen

Whitney

Trejo

et al. 2020

Preprint

View full text Add to dashboard Cite

BACKGROUND: We analyzed the association between substance use (SU) and condomless sex (CS) among HIV-negative adults reporting heterosexual sex in the Seek, Test, Treat, and Retain (STTR) consortium. We describe the impact of SU as well as person/partner and context-related factors on CS, identifying combinations of factors that indicate the highest likelihood of CS.METHODS: We analyzed data from four US-based STTR studies to examine the effect of SU on CS using two SU exposures: 1) current SU (within 3 months) and 2) SU before/during sex. Adjusted individual-study, multivariable relative risk regression was used to examine the relationship between CS and SU. We also examined interactions with type of sex and partner HIV status. Pooled effect estimates were calculated using traditional fixed-effects meta-analysis.RESULTS: We analyzed data for current SU (n=6781; 82% men, median age=33 years) and SU before/during sex (n=2915; 69% men, median age=40 years). For both exposure classifications, any SU other than cannabis increased the likelihood of CS relative to non-SU (8-16%, p-values<0.001). In the current SU group, however, polysubstance use did not increase the likelihood of CS compared to single-substance use. Cannabis use did not increase the likelihood of CS, regardless of frequency of use. Type of sex was associated with CS; those reporting vaginal and anal sex had a higher likelihood of CS compared to vaginal sex only for both exposure classifications (18-21%, p<0.001). Current SU increased likelihood of CS among those reporting vaginal sex only (9-10%, p<0.001); results were similar for those reporting vaginal and anal sex (5-8%, p <0.01). SU before/during sex increased the likelihood of CS among those reporting vaginal sex only (20%; p<0.001) and among those reporting vaginal and anal sex (7%; p=0.002). Single- and poly-SU before/during sex increased the likelihood of CS for those with exclusively HIV-negative partners (7-8%, p£0.02), and for those reporting HIV-negative and HIV-status unknown partners (9-13%, p£0.03).CONCLUSION: Except for cannabis, any SU increased the likelihood of CS. CS was associated with having perceived HIV-negative partners and with having had both anal/vaginal sex.

show abstract

“…Similarly, sexual behaviour that takes risk into account and falls short of compulsive levels is integral to romantic relationships and reproduction [9]. Evidence shows that impulsivity contributes not only to initiation (including relatively early initiation) of addictive and sexual behaviours but also to acceleration of these behaviours [10,11]. Once acceleration occurs, addictive and sexual behaviours can be potentially problematic [12 -14].…”

Section: Introduction (A) Background On Impulsivity and Addictive Andmentioning

confidence: 99%

Relationships among impulsive, addictive and sexual tendencies and behaviours: a systematic review of experimental and prospective studies in humans

Leeman

Rowland

Gebru

et al. 2018

Phil. Trans. R. Soc. B

View full text Add to dashboard Cite

Impulsivity's relationships to addictive and sexual behaviours raise questions regarding the extent impulsivity may constitute a vulnerability factor for subsequent addictive and sexual behaviours and/or results from each of these. Here, we systematically reviewed empirical support for impulsivity as a precipitating factor or a consequence of addictive or sexual behaviours. We restricted ourselves to recent, human studies with assessments over time, including at least one measure of impulsivity, addictive and sexual behaviours, yielding a review including 29 published reports from 28 studies. Findings point to generalized, self-reported impulsivity as a predictor of addictive and sexual behaviours at a wide range of severity, with elements of both impulsivity and compulsivity to these acts. Alcohol consumption often increases impulsive behaviour, including inclinations towards impulsive and potentially compulsive sexual acts. Research using the Sexual Delay Discounting Task has yielded findings linking impulsivity, addictive and sexual behaviour and as such is a valuable research tool that should be used more extensively. The present review identified gaps to be addressed in further research that concurrently examines facets of impulsivity, addictive and sexual behaviours, especially because criteria for compulsive sexual behaviour disorder have been included in the eleventh edition of the International Classification of Diseases . This article is part of the theme issue ‘Risk taking and impulsive behaviour: fundamental discoveries, theoretical perspectives and clinical implications’.

show abstract

Does being drunk or high cause HIV sexual risk behavior? A systematic review of drug administration studies

Cited by 78 publications

References 95 publications

Dropout rates of in‐person psychosocial substance use disorder treatments: a systematic review and meta‐analysis

Dropout rates of in‐person psychosocial substance use disorder treatments: a systematic review and meta‐analysis

Individual and Poly-Substance use and Condomless Sex Among HIV-Uninfected Adults Reporting Heterosexual Sex in a Multi-Site Cohort

Relationships among impulsive, addictive and sexual tendencies and behaviours: a systematic review of experimental and prospective studies in humans

Contact Info

Product

Resources

About