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Review ARTICLE

Front. Public Health, 09 February 2016 | https://doi.org/10.3389/fpubh.2016.00016

The Influence of Neurocognitive Impairment on HIV Risk Behaviors and Intervention Outcomes among High-Risk Substance Users: A Systematic Review

imageRoman Shrestha1,2* and imageMichael Copenhaver3
  • 1Department of Community Medicine and Health Care, University of Connecticut Health Center, Farmington, CT, USA
  • 2Center for Health, Intervention, and Prevention, University of Connecticut, Storrs, CT, USA
  • 3Department of Allied Health Sciences, University of Connecticut, Storrs, CT, USA

Neurocognitive impairment (NCI) among high-risk substance users poses a substantial barrier to reducing risk behaviors in this population. Previous work suggests that NCI is intertwined in a close, reciprocal relationship with risk behaviors. Not only does substance use worsen cognitive impairment but cognitive impairment may also reduce the efficacy of interventions aimed at reducing risk and improving medication adherence. In this systematic review, we examine the potential impact of substance abuse and cognitive functioning in the context of HIV risk behaviors and risk-reduction intervention outcomes. The findings thus far suggest that, in order to be effective, risk-reduction interventions must take into account the impact of NCI on learning, memory, and behavior.

Introduction

Since the beginning of the HIV/AIDS epidemic, approximately 600,000 people have died of AIDS-related illnesses in the United States alone. Despite a wide array of preventive measures, the US is still facing a continuing epidemic, with approximately 50,000 new infections per year (1). Substance use – including alcohol, injection drug use (IDU), and non-IDU – remains an important risk factors fueling the epidemic. Although the number of new HIV infections attributed to IDU has declined significantly over time, rates continue to be high among specific sub-populations, including racial/ethnic minority groups (2). Beyond risk from injection-related behaviors (e.g., sharing needles), use of illicit drugs is an important driver of sexual transmission of HIV. Previous research has found that substance users engage in high-risk sexual behavior, including trading sex for drugs or money (35), having multiple sex partners (68), and unprotected intercourse (79). Therefore, there is an urgent need for interventions targeting substance use-related behavioral changes in order to reduce rate of HIV incidence in this population.

Recent studies exploring the effects of substance use on the brain have demonstrated a variety of adverse effects on the central nervous system (CNS) resulting in neurocognitive impairment (NCI) symptoms (1014). Indeed, studies have shown an extensive overlap between the brain regions and neural processes involved in substance addiction and those that are known to be of relevance for cognitive functions like learning, memory, and reasoning. The repeated exposure to abusive drugs produces significant structural and functional abnormalities in the brain, predominantly in the frontal cortex and temporal lobe, areas considered crucial for executive control (1521). This cognitive shift, followed by continued substance abuse, may play a role in the development of addiction and exacerbate the difficulty of sustaining abstinence.

Substance abuse and the presence of neurocognitive deficits are independently associated with increased drug- and sex-related risk behaviors and HIV intervention outcomes in studies that have examined high-risk HIV substance using samples (39, 2225). Some research has suggested synergistic deleterious impacts of substance use and NCI on HIV-related risk behaviors (24, 26). Importantly, the impairment in cognitive functioning influenced by continued substance use among substance abusers may also prevent normal acquisition and retention of intervention content delivered through behavioral risk-reduction intervention approaches (22, 27, 28). Thus, understanding the relationship between substance abuse, NCI, and HIV risk factors is crucial to successfully intervening against a range of risk behaviors among substance abusers. This systematic review is aimed at exploring the relevant research literature to more clearly examine the possible impact of NCI on HIV risk as well as HIV intervention efforts targeting high-risk HIV substance users.

Methods

Search Methods for Identification of Studies

The literature review was restricted to peer-reviewed original human research articles and dissertations that focused on the effects of cognitive functioning on HIV risk behaviors. Searches included relevant English language papers published in 1981–2014. Relevant studies were located using several search strategies. First, PubMed, ProQuest Dissertations, and Theses were searched using Boolean operators:: {[(HIV risk behaviors) OR (sexual risk behaviors) OR (substance abuse risk behavior) OR (drug abuse risk behavior) OR (needle shar*) OR (condom use) OR (HIV knowledge)] AND [(neuropsychol*) OR (cognitive deficit) OR (neurocognitive disorder) OR (neurocog*) OR (executive function) OR (attention deficit) OR (memory deficit) OR (HIV-associated neurocognitive disorders) OR (visual motor function) OR (spatial problem solving) OR (psychomotor function) OR (speed of processing) OR (visual attention) OR (visual learning) OR (working memory deficit) OR (social cognition)] AND [(substance use*) OR (drug use*) OR (drug addict*) OR (drug dependent) OR (IDU) OR (injection drug use*) OR (illegal drug use*) OR (opiate user) OR (heroine user) OR (street drug user)]}. Both a combined text word and Medical Subject Headings (MeSH) terms were used to identify relevant papers. Second, a secondary search was conducted that involved checking the reference sections of relevant review papers and google scholar for articles that may have been missed in the initial computerized search.

Study Selection and Inclusion/Exclusion Criteria

In conducting this systematic review, peer-reviewed studies were included if they met all of the following criteria: (a) participants were high-risk substance users; (b) assessed participants’ NCI status; (c) assessed substance- or sexual-related HIV risk behavior outcome(s); and (d) were published in English. The search was not limited to any particular geographic area or region, and there were no restrictions imposed on the age of subject populations. Studies were excluded if they focused on sexual and drug use transmission risk but not on cognitive impairment. We also excluded pharmaceutical studies.

A total of 140 articles were retrieved as of September, 2015. After nine additional articles were found in the reference section of the relevant journal articles, we had 148 articles for preliminary review. Of these, 14 were subsequently excluded because they were either review articles (4), were not human studies (7), and non-English articles (3), leaving 135 records for further review (Figure 1). After inspecting study titles and abstracts, we found that 107 records were not directly relevant to the study objectives (98), described ongoing studies with no data published (1) or lacked the stated outcomes of interest (8), leaving 28 records for further, more detailed, review. A full-text copy of this subset of studies was obtained and assessed for inclusion. Nineteen full-text records were excluded because they did not investigate the variables of interest. Thus, a total of nine studies were included for this review (Figure 1).

FIGURE 1
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Figure 1. Summary of study selection process.

Data Extraction and Management

Data concerning study characteristics, participant characteristics, study design characteristics, and outcome characteristics were independently abstracted from relevant studies by two trained reviewers (Roman Shrestha and Michael Copenhaver). Any discrepancies were resolved by discussion.

A standardized form was used for data extraction. Article characteristics included such dimensions as (a) authors, (b) year of publication, (c) year of data collection, (d) sample size, (e) location of study, and (f) whether a theoretical framework guided the interventional design, if applicable. Participant characteristics included (a) age, (b) race/ethnicity, (c) gender distribution of participants, and (d) sample type. Study design characteristics included (a) type of study design (e.g., randomized controlled trial), (b) type of control group, and (c) type of neurocognitive deficit measure. Outcome characteristics included influence of NCI on HIV risk behaviors, including (a) knowledge about HIV, (b) motivation to change behaviors, (c) self-reported condom use (male or female condoms), (d) self-reported number of sexual partners, (e) self-reported IDU pattern, and (f) self-efficacy (assessing self-confidence related to condom application skills, sexual practices, and needle cleaning skills after intervention).

Results

Description of Studies

A total of nine studies met the review inclusion criteria (Table 1). Studies were conducted between 1999 and 2014, with the majority (77.8%) taking place within the past decade (2004–2014). In terms of methods, over one-third of the studies (33.3%) were cross-­sectional, 33.3% longitudinal, 22.2% were randomized controlled trial, and 11.1% were case–control. Studies collected data through face-to-face interviews (66.6%) or self-administered surveys (33.3%). Seventy-seven percent (k = 7) of the studies mentioned the specific measure used to assess neurocognitive deficit of the participants, whereas 22.2% (k = 2) did not. HIV-related knowledge among samples was assessed in two studies (22.2%), motivation to change risk behaviors in two studies (22.2%) and self-efficacy in two studies (22.2%). Sexual risk was measured in terms of unprotected sex in seven studies (77.8%), condom use in seven studies (77.8%), and having multiple sexual partners in two studies (22.2%).

TABLE 1
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Table 1. Summary of studies included in the systematic review.

Overall, 1,836 substance users were enrolled across the study. Study sample sizes ranged from 51 to 579, with the average number of 204 per study. The average age across samples was 36.8 years (range = 15.8–49.3; k = 9). Study participants were all HIV-negative substance users randomly recruited from venues that served active substance users, including substance abuse treatment clinics, service organizations, or defined communities. Less than half (44.4%) of the studies provided monetary incentives for study participation. A complete summary of the outcome measures generated from each citation appears in Table 1. The results by outcome were as follows.

Neurocognitive Impairment and Its Influence on HIV Risk Behaviors

The majority of the studies reviewed in the present study found a significant association between a higher level of NCI and a greater level of HIV-related risk behaviors among substance users. A recent study by Worley et al. on the effects of NCI on substance uses among adults in treatment for alcohol or drug dependence found that more severe NCI predicted poorer alcohol and drug use outcomes via lower self-efficacy (i.e., confidence to resist use of alcohol or drugs across a variety of high-risk situations) (28). Interestingly, among a sample of heroin IDUs who were HIV-seronegative, aged between 18 and 30 years, Mitchell et al. found that cognitive performance had a moderating effect on IDU behaviors, such as individuals who had lower cognitive scores and knew someone who had died from AIDS were more likely to report higher-risk injection behavior (i.e., shared needles or used the same cooker, cotton, or rinse water) (32).

In a longitudinal study, Stacy et al. showed that implicit cognition indicator, which refers to the learning, memory, and performance processes, which take place without the subject’s conscious awareness, was an independent predictor of lack of condom use in a high-risk sample (33). Implicit cognition predicted unprotected sex in this sample even when other potentially strong predictors were controlled (e.g., drug use, sensation ­seeking) (33). Likewise, Schuster et al. found both direct and indirect associations between aspects of inhibitory control and risky sexual behaviors (RSBs) (25). The same study also found that the amount of recent cannabis use was associated with overall sexual-risk, as expected. The relationship between amount of recent cannabis use and overall RSBs, however, was moderated by performance on decision-making, with significant relationships emerging only among those who performed more poorly. This supports the notion that neurocognitive functioning, particularly in the domains of risk-taking and episodic memory, may influence the degree to which cannabis users engage in RSBs (25).

More recently, Albein-Urios et al. compared the cognitive performance of cocaine-dependent individuals (CDI) with that of pathological gamblers (PG) (29). The study found that CDI, as compared to PG, had elevated scores on Negative Urgency and poorer performance on working memory. Correlational analyses showed significant negative associations between performance on the working memory and response inhibition tasks and peak amount of cocaine use (29). The finding of this study that cocaine dependence is specifically associated with working memory deficits is in agreement with our hypothesis.

Although the vast majority of studies reported some degree of influence of NCI on HIV-related risk behaviors, we also identified studies that suggested otherwise. For example, a cross-sectional study among poly-drug users from the Chicago metropolitan area, seeking services from various community clinics, did not find any significant relationships between neurocognitive performance and self-reported risky sexual practices for the overall subject sample (23). Also, Black et al. reported similar findings among psychiatric outpatients with a comorbid substance abuse dependence disorder in a community mental health center in Connecticut, USA. They reported that cognitive impulsivity was not found to have a significant correlation with any RSBs (30).

Furthermore, similar finding has been found among a sample of IDUs in New York City who are infected with HIV. In a longitudinal study, Dolezal et al. found no significant association between neurological assessment outcomes and any of the risk behaviors, including less unprotected sex, abstinence, and lower risk index scores. Lower scores on the Selective Reminding Test, however, were associated with abstinence and lower risk index scores (31).

Neurocognitive Impairment and Its Influence on Intervention Outcomes

Researchers recently explored the association between NCI and risk reduction intervention outcomes among chronic substance users participating in methadone-maintained drug treatment (27). Following the intervention, improvements in treatment outcomes were negatively associated with NCI among the study participants. This finding showed that participants with higher levels of neurocognitive deficits demonstrated lesser HIV risk reduction skills development compared with participants with lower levels of NCI. The same study also found that higher degree of NCI was associated with lower self-efficacy about sex-risk reduction behavior (i.e., purchasing condoms) as well as more difficulty learning HIV risk reduction skills (i.e., needle cleaning skills) (27).

Discussion

We reviewed studies that included data on the influence of NCI on HIV risk behaviors and intervention outcomes among high-risk substance users. Consistent with our hypotheses, we found both direct and indirect associations between NCI and risk behaviors and intervention outcomes (25, 2729, 32, 33). The nature of findings linked to neurocognitive deficits suggests that this may negatively influence risk-taking behavior. For example, impaired executive function impedes rational decision-makingwhich may prevent individuals from making safe sexual choices. Similarly, slowed information processing function may prevent the timely, appropriate consideration of risk variables during decision-making instances (34).

Neurocognitive impairment may also play a substantial role in how drug dependent individuals respond to HIV interventions (27, 28). Traditional “behavioral” HIV prevention strategies tend to place a high demand on numerous cognitive abilities such as attention, learning, memory, and information processing (35). As such, neurocognitive deficits may function as a confounding variable with regard to a range of intervention outcomes. Moderate levels of impairment that is common among substance users may impede the presumed attainment and retention of behavioral content provided in traditional intervention and treatment programs (34).

Our results support the notion that cognitive functioning, particularly in the domains of executive function, decision-making, working memory, and cognitive impulsivity, may influence the degree to which substance users engage in risky behaviors (3, 7, 23, 25, 27). Importantly, these findings persisted even after accounting for confounding variables (e.g., substance use), suggesting that the relationships between neurocognitive functioning and risk behaviors are not simply due to severity of substance use. Some results, however, also indicate that the presence of NCI may not confer increased risk behavior universally. Instead, the contribution of cognitive deficits on risk behavior may vary across ethnicities and/or geographic location, socioeconomic status, gender, and sexual orientation, thus precluding universal generalizations, as might be expected (23, 30, 31).

Some of the limitations of this systematic review should be acknowledged. First, the review of articles was restricted to peer-reviewed journal articles published in English. This may have likely biased our selection of articles toward predominantly English-speaking countries. In addition, we initially screened only abstracts to determine whether the study investigated the impact of cognitive deficits on HIV risk behavior outcomes. Thus, any secondary outcomes and analyses pertinent to our areas of interest not mentioned within the abstracts may have been excluded from this review. Many risk behaviors were self-reported by the study participants, often at much later time points, making their response open to bias and social desirability factors. In addition, due to a reliance on primarily cross-sectional study designs, it is not possible to drawn causal inferences regarding the independent influence of NCI.

Conclusion and Future Directions

The findings of this study indicate that the majority of the available research has shown a close and reciprocal association between NCI and increased HIV risk behaviors among high-risk substance users. The literature also suggested that NCI is associated with how well these same risk individuals respond to interventions aimed at reducing risk behaviors. The findings from this review suggest that more attention needs to be given to screening for NCI among this population, and appropriately accommodating them in the delivery of HIV risk-reduction interventions. Though untested to date, previous reviews have suggested that behavioral HIV prevention strategies integrating cognitive remediation strategies, multi-modal presentation of information, and a focus on real-world applications may be useful when incorporated into behavioral risk reduction strategies among individuals with cognitive deficits (34). As such, future studies should examine the feasibility and direct impact of incorporating specific behavioral intervention strategies designed to accommodate the moderate levels of NCI – thus allowing greater potential benefit – among high-risk substance users.

Author Contributions

Conceived and designed the study: RS and MC. Analyzed the data: RS and MC. Wrote the paper: RS. Proof read the paper: RS and MC. Final approval: RS and MC.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Funding

Funding to support the preparation of the article was provided by a National Institute of Health (NIH) Grant (K02DA033139) to MC.

References

1. Centers for Disease Control and Prevention. Monitoring selected national HIV prevention and care objectives by using HIV surveillance data – United States and 6 dependent areas — 2012. HIV Surveillance Suppl Rep (2014) 19(3). Available from: http://www.cdc.gov/hiv/library/reports/surveillance/

Google Scholar

2. Broz D, Pham H, Spiller M, Wejnert C, Le B, Neaigus A, et al. Prevalence of HIV infection and risk behaviors among younger and older injecting drug users in the United States, 2009. AIDS Behav (2014) 18(Suppl 3):284–96. doi: 10.1007/s10461-013-0660-4

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Edwards JM, Halpern CT, Wechsberg WM. Correlates of exchanging sex for drugs or money among women who use crack cocaine. AIDS Educ Prev (2006) 18(5):420–9. doi:10.1521/aeap.2006.18.5.420

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Kral A, Lorvick J, Ciccarone D, Wenger L, Gee L, Martinez A, et al. HIV prevalence and risk behaviors among men who have sex with men and inject drugs in San Francisco. J Urban Health (2005) 82(1):i43–50. doi:10.1093/jurban/jti023

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Morris MD, Lemus H, Wagner KD, Martinez G, Lozada R, Gómez RMG, et al. Factors associated with pathways toward concurrent sex work and injection drug use among female sex workers who inject drugs in northern Mexico. Addiction (2013) 108(1):161–70. doi:10.1111/j.1360-0443.2012.04016.x

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Brodish P, Singh K, Rinyuri A, Njeru C, Kingola N, Mureithi P, et al. Evidence of high-risk sexual behaviors among injection drug users in the Kenya PLACE study. Drug Alcohol Depend (2011) 119(1–2):138–41. doi:10.1016/j.drugalcdep.2011.05.030

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Lau JTF, Feng T, Lin X, Wang Q, Tsui HY. Needle sharing and sex-related risk behaviours among drug users in Shenzhen, a city in Guangdong, southern China. AIDS Care (2005) 17(2):166–81. doi:10.1080/09540120512331325662

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Mahanta J, Medhi GK, Paranjape RS, Roy N, Kohli A, Brogen AS, et al. Injecting and sexual risk behaviours, sexually transmitted infections and HIV prevalence in injecting drug users in three states in India. AIDS (2008) 22:S59–68. doi:10.1097/01.aids.0000343764.62455.9e

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Bogart LM, Kral AH, Scott A, Anderson R, Flynn N, Gilbert ML, et al. Sexual risk among injection drug users recruited from syringe exchange programs in California. Sex Transm Dis (2005) 32(1):27–34. doi:10.1097/01.olq.0000148294.83012.d0

CrossRef Full Text | Google Scholar

10. Gould TJ. Addiction and cognition. Addict Sci Clin Pract (2010) 5(2):4–14.

Google Scholar

11. Indlekofer F, Piechatzek M, Daamen M, Glasmacher C, Lieb R, Pfister H, et al. Reduced memory and attention performance in a population-based sample of young adults with a moderate lifetime use of cannabis, ecstasy and alcohol. J Psychopharmacol (2009) 23(5):495–509. doi:10.1177/0269881108091076

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Kelley BJ, Yeager KR, Pepper TH, Beversdorf DQ. Cognitive impairment in acute cocaine withdrawal. Cogn Behav Neurol (2005) 18(2):108–12. doi:10.1097/01.wnn.0000160823.61201.20

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Lundqvist T. Cognitive consequences of cannabis use: comparison with abuse of stimulants and heroin with regard to attention, memory and executive functions. Pharmacol Biochem Behav (2005) 81(2):319–30. doi:10.1016/j.pbb.2005.02.017

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Woicik PA, Moeller SJ, Alia-Klein N, Maloney T, Lukasik TM, Yeliosof O, et al. The neurops ychology of cocaine addiction: recent cocaine use masks impairment. Neuropsychopharmacology (2008) 34(5):1112–22. doi:10.1038/npp.2008.60

CrossRef Full Text | Google Scholar

15. Beveridge TJ, Gill KE, Hanlon CA, Porrino LJ. Review. Parallel studies of cocaine-related neural and cognitive impairment in humans and monkeys. Philos Trans R Soc Lond B Biol Sci (2008) 363(1507):3257–66. doi:10.1098/rstb.2008.0102

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Ernst T, Chang L, Oropilla G, Gustavson A, Speck O. Cerebral perfusion abnormalities in abstinent cocaine abusers: a perfusion MRI and SPECT study. Psychiatry Res (2000) 99(2):63–74. doi:10.1016/S0925-4927(00)00056-1

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Ersche KD, Barnes A, Jones PS, Morein-Zamir S, Robbins TW, Bullmore ET. Abnormal structure of frontostriatal brain systems is associated with aspects of impulsivity and compulsivity in cocaine dependence. Brain (2011) 134(Pt 7):2013–24. doi:10.1093/brain/awr138

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Lim KO, Wozniak JR, Mueller BA, Franc DT, Specker SM, Rodriguez CP, et al. Brain macrostructural and microstructural abnormalities in cocaine dependence. Drug Alcohol Depend (2008) 92(1–3):164–72. doi:10.1016/j.drugalcdep.2007.07.019

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Makris N, Gasic GP, Kennedy DN, Hodge SM, Kaiser JR, Lee MJ, et al. Cortical thickness abnormalities in cocaine addiction – a reflection of both drug use and a pre-existing disposition to drug abuse? Neuron (2008) 60(1):174–88. doi:10.1016/j.neuron.2008.08.011

CrossRef Full Text | Google Scholar

20. Ornstein TJ, Iddon JL, Baldacchino AM, Sahakian BJ, London M, Everitt BJ, et al. Profiles of cognitive dysfunction in chronic amphetamine and heroin abusers. Neuropsychopharmacology (2000) 23(2):113–26. doi:10.1016/S0893-133X(00)00097-X

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Rapeli P, Kivisaari R, Autti T, Kahkonen S, Puuskari V, Jokela O, et al. Cognitive function during early abstinence from opioid dependence: a comparison to age, gender, and verbal intelligence matched controls. BMC Psychiatry (2006) 6(1):9. doi:10.1186/1471-244X-6-9

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Ezeabogu I, Copenhaver MM, Potrepka J. The influence of neurocognitive impairment on HIV treatment outcomes among drug-involved people living with HIV/AIDS. AIDS Care (2012) 24(3):386–93. doi:10.1080/09540121.2011.608794

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Gonzalez R, Vassileva J, Bechara A, Grbesic S, Sworowski L, Novak RM, et al. The influence of executive functions, sensation seeking, and HIV serostatus on the risky sexual practices of substance-dependent individuals. J Int Neuropsychol Soc (2005) 11(2):121–31. doi:10.1017/S1355617705050186

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Otto-Salaj LL, Gore-Felton C, McGarvey E, Canterbury RJ II. Psychiatric functioning and substance use: factors associated with HIV risk among incarcerated adolescents. Child Psychiatry Hum Dev (2002) 33(2):91–106. doi:10.1023/A:1020714423998

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Schuster RM, Crane NA, Mermelstein R, Gonzalez R. The influence of inhibitory control and episodic memory on the risky sexual behavior of young adult cannabis users. J Int Neuropsychol Soc (2012) 18(5):827–33. doi:10.1017/S1355617712000586

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Meade CS, Sikkema KJ. HIV risk behavior among adults with severe mental illness: a systematic review. Clin Psychol Rev (2005) 25(4):433–57. doi:10.1016/j.cpr.2005.02.001

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Sadeghi-Najafabadi M. The Influence of Neurocognitive Impairment on HIV Risk Reduction Intervention Outcomes among Drug Dependent Methadone-Maintained Patients. Storrs, CT: University of Connecticut (2013).

Google Scholar

28. Worley MJ, Tate SR, Brown SA. Mediational relations between 12-step attendance, depression, and substance use in patients with comorbid substance dependence and major depression. Addiction (2012) 107(11):1974–83. doi:10.1111/j.1360-0443.2012.03943.x

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Albein-Urios N, Martinez-Gonzalez JM, Lozano O, Clark L, Verdejo-Garcia A. Comparison of impulsivity and working memory in cocaine addiction and pathological gambling: implications for cocaine-induced neurotoxicity. Drug Alcohol Depend (2012) 126(1–2):1–6. doi:10.1016/j.drugalcdep.2012.03.008

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Black RA, Serowik KL, Rosen MI. Associations between impulsivity and high risk sexual behaviors in dually diagnosed outpatients. Am J Drug Alcohol Abuse (2009) 35(5):325–8. doi:10.1080/00952990903075034

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Dolezal C, Meyer-Bahlburg H, Liu X, Ehrhardt AA, Exner TM, Rabkin JG, et al. Longitudinal changes in sexual risk behavior among HIV+ and HIV− male injecting drug users. Am J Drug Alcohol Abuse (1999) 25(2):281–303. doi:10.1081/ADA-100101861

CrossRef Full Text | Google Scholar

32. Mitchell MM, Severtson SG, Latimer WW. Interaction of cognitive performance and knowing someone who has died from AIDS on HIV risk behaviors. AIDS Educ Prev (2007) 19(4):289–97. doi:10.1521/aeap.2007.19.4.289

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Stacy AW, Newcomb MD, Ames SL. Implicit cognition and HIV risk behavior. J Behav Med (2000) 23(5):475–99. doi:10.1023/A:1005577132666

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Anand P, Springer SA, Copenhaver MM, Altice FL. Neurocognitive impairment and HIV risk factors: a reciprocal relationship. AIDS Behav (2010) 14(6):1213–26. doi:10.1007/s10461-010-9684-1

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Copenhaver M, Avants SK, Warburton LA, Margolin A. Intervening effectively with drug abusers infected with HIV: taking into account the potential for cognitive impairment. J Psychoactive Drugs (2003) 35(2):209–18. doi:10.1080/02791072.2003.10400002

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: neurocognitive impairment, substance abuse, HIV risk behaviors, systematic review, HIV/AIDS, behavioral interventions

Citation: Shrestha R and Copenhaver M (2016) The Influence of Neurocognitive Impairment on HIV Risk Behaviors and Intervention Outcomes among High-Risk Substance Users: A Systematic Review. Front. Public Health 4:16. doi: 10.3389/fpubh.2016.00016

Received: 19 October 2015; Accepted: 28 January 2016;
Published: 09 February 2016

Edited by:

Alexandre Andrade Loch, University of São Paulo, Brazil

Reviewed by:

Taiwo Lateef Sheikh, Federal Neuropsychiatric Hospital, Nigeria
Mahshid Taj, WHO, Egypt

Copyright: © 2016 Shrestha and Copenhaver. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Roman Shrestha, roman.shrestha@uconn.edu