Injection and Non-Injection Drug Use Among Adults with Diagnosed HIV in the United States, 2015-2018

A genome-wide association study of methamphetamine use among people with HIV

BACKGROUND

Amphetamine-like stimulants are the most used psychostimulants in the world; methamphetamine use is the most prevalent in people with HIV. Prolonged methamphetamine use can cause lasting damage to the heart, gut, and brain, as well as auditory hallucinations and paranoid thinking. However, relatively little is known about methamphetamine use and its genetic contributors.

METHODS

Using genetic information from the Centers for AIDS Research Network of Integrated Clinical Systems (CNICS) cohort, we conducted a multi-ancestry genome-wide association study (GWAS) of methamphetamine use among people with HIV (n = 1,196 reported ever use, n = 4,750 reported never use).

RESULTS

No single nucleotide polymorphism was statistically associated with methamphetamine use at the genome-wide level (p < 5 * 10-8) in our study. Further, we did not replicate previously suggested genetic variants from other studies (all p > 0.05 in our analysis).

DISCUSSION

Our study suggests that there is no single strong genetic contributor to lifetime use of methamphetamine in people with HIV enrolled in CNICS. Larger studies with more refined outcome assessment are warranted to further understand the contribution of genetics to methamphetamine use and use disorder. Investigation into social and environmental contributors to methamphetamine use are similarly necessary.

Characterization of People Living with HIV Who Inject Drugs in Mexico City: Importance for Transmission and Detection

People who inject drugs (PWID) face a heightened risk of acquiring/transmitting HIV, enhanced by stigma and limited health care access. In Mexico, studies on PWID have focused on the north of the country. This study aimed to delineate characteristics of PWID living with HIV in Mexico City, identify profiles based on the substance injected, and evaluate variables associated with forming transmission clusters. A cross-sectional study was conducted with data from 2019 to 2023. Participants completed a questionnaire on sociodemographic, clinical, and behavioral variables. Bivariate and multi-variate logistic regression analyses were made. Among PWID, 96.3% were male (n = 437), of which 90.1% were men who have sex with men, 1.5% were cisgender females (n = 7), and 2.2% were transgender females (n = 10). PWID were more likely to use drugs during sex (adjusted odds ratio [aOR] = 3.3, 95% confidence interval [CI]: 1.7-6.4, p < 0.001), have more sexually transmitted diseases (aOR = 1.7, 95% CI: 1.1-2.9, p = 0.035), and have less condom use (aOR = 0.5, 95% CI: 0.3-0.8, p = 0.002). The most frequently injected substance was crystal meth, and those who injected it were more likely to have syphilis (aOR = 2.9, 95% CI: 1.2-7.1, p = 0.021), use Grindr (aOR = 3.6, 95% CI: 1.5-8.9, p < 0.001), and engage in high-risk practices (aOR = 6.9, 95% CI: 2.1-22.7, p < 0.001) in the last 3 months. Those under 25 years (p = 0.002), recently infected (p < 0.001), and who practiced insertive anal sex (p < 0.001) were more likely to be part of a cluster. These findings, and the increasing use of crystal meth, underscore the critical need to implement targeted risk-reduction strategies for PWID living with HIV and to design interventions responsive to specific profiles associated with different substances, taking into account not only their risk practices but also protective behaviors such as HIV testing.

Prevalence and predictors of HIV among patients presenting to US emergency departments with opioid overdose

INTRODUCTION

Opioid overdose deaths in the U.S. have risen dramatically in the past decade, largely due to the surge in illicitly manufactured fentanyl. Injection drug use is a known risk factor for HIV, further complicating the long-term consequences of opioid use. The baseline prevalence of HIV among adults in the US is 0.46 %. The primary purpose of this study was to determine the prevalence and risk factors of HIV among patients presenting to the emergency departments (ED) with an acute opioid overdose.

METHODS

This study is a prospective observational cohort study from the ToxIC Fentalog Study group. Patients age 18 years of age or older are included if they present to one of 10 participating U.S. hospitals in 9 states between September 2020 and May 2023 with a suspected opioid overdose and had waste serum available after routine laboratory testing. Clinical data is collected from the medical record and patient serum is sent for comprehensive toxicologic analysis via liquid chromatography quadrupole time-of-flight mass spectroscopy to detect the presence of over 1200 substances including illicit opioids, novel synthetic opioids, medications, and adulterants. Logistic multivariable regression was performed to examine the association between demographic, behavioral, and serum toxicology data with risk factors and HIV status.

RESULTS

Among the total cohort (n=1690), 1062 cases had known HIV status (62.8 % of total sample). Among patients with a known HIV status, 60 (5.6 % [95 % CI: 4.2 %, 7.0 %]) were HIV positive. Patients with HIV reported stimulant use more frequently (13.3 %) than those without HIV (6.8 %; p=0.003). After controlling for confounding, bipolar psychiatric history was a significant independent predictor of HIV positivity (aOR: 1.08; 95 % CI: 1.02, 1.13) in this population.

CONCLUSIONS

In this large multicenter cohort, the prevalence of HIV for ED patients with illicit opioid overdose was 9 times higher than that expected by the general population. Bipolar disorder appears to be a novel risk factor for HIV positivity in this patient population.

The Impact of HIV-Related Stigma on Racial/Ethnic Disparities in Retention in HIV Care Among Adults Living with HIV in Florida

BACKGROUND

Our study examines the effects of distinct HIV stigma subtypes on retention in care and racial-ethnic differences among persons with HIV (PWH).

METHODS

Using Florida Medical Monitoring Project 2015-2017 data, we analyzed patients' clinical and behavioral characteristics. We analyzed 89,889 PWH in Florida (50.0% non-Hispanic Blacks, 20.8% Hispanics, 29.2% non-Hispanic whites). HIV stigma subtypes, negative self-image, anticipated stigma, personalized stigma, and retention in care were examined with logistic regressions.

RESULTS

People with high negative self-image and anticipated stigma were less likely to be retained (CI: 0.84-0.92; 0.47-0.53). The association between HIV-related stigma subtypes and retention in care differed between Black, White, and Hispanic participants. Negative self-image was associated with higher retention rates among Hispanics (CI: 5.64-9.26) and Whites (CI: 1.04-1.27), while low retention rates among Blacks (0.617-0.686). The likelihood of staying in care was lower across all racial-ethnic groups when the anticipated stigma was high or moderate. In contrast, personalized stigma increased retention across all racial-ethnic groups.

CONCLUSION

Results showed that distinct types of HIV stigma differentially impact retention, and these associations differ by race and ethnicity. Future interventions should address the effect HIV stigma subtypes have on racially minoritized PWH retention.

WaSH insecurity and anxiety among people who inject drugs in the Tijuana-San Diego border region

BACKGROUND

Water, sanitation, and hygiene (WaSH) insecurity increases the risk of water-related diseases. However, limited research has been conducted on psychosocial distress as it relates to WaSH insecurity, especially among people who inject drugs (PWID). We examined the relationship between WaSH insecurity and related anxiety among PWID living in different housing conditions along the US-Mexico border region.

METHODS

From 2020-2021, a cross-sectional study was conducted among 585 people who injected drugs within the last month in Tijuana (N = 202), San Diego (N = 182), and in both Tijuana and San Diego (N = 201). Participants underwent interviewer-administered surveys related to WaSH access, substance use, and generalized anxiety disorder (GAD-7). Quasi-Poisson regressions were used to assess associations between WaSH insecurity and anxiety in the prior 6-months.

RESULTS

Participants were 75% male, 42% were unhoused and 91% experienced WaSH insecurity in the prior 6-months. After adjusting for housing status, gender, and age, lack of access to basic drinking water (Adj RR: 1.28; 95% CI: 1.02-1.58), sanitation (Adj RR:1.28; 95% CI: 1.07-1.55), and a daily bath/shower (Adj RR: 1.38; 95% CI: 1.15-1.66) were associated with mild-severe anxiety. The number of WaSH insecurities was independently associated with a 20% increased risk of experiencing anxiety per every additional insecurity experienced (Adj RR: 1.20; CI: 1.12-1.27). We also found a significant interaction between gender and housing status (p = 0.003), indicating that among people experiencing sheltered/unsheltered homelessness, women had a higher risk of mild-severe anxiety compared to men (Adj RR: 1.55; 95% CI: 1.27-1.89). At the same time, among women, those who are unhoused have 37% increased risk of anxiety than those who live in stable housing conditions (Adj RR: 1.37; 95% CI: 1.01-1.89).

CONCLUSION

The lack of specific WaSH services, particularly lack of drinking water, toilets, and daily showers were associated with higher levels of anxiety among PWID in the Tijuana-San Diego border region. Women experiencing homelessness were especially vulnerable. WaSH interventions that provide safe, 24-h access may help to reduce anxiety and health risks associated with WaSH insecurity.

A multimorbidity model for estimating health outcomes from the syndemic of injection drug use and associated infections in the United States

BACKGROUND

Fatal drug overdoses and serious injection-related infections are rising in the US. Multiple concurrent infections in people who inject drugs (PWID) exacerbate poor health outcomes, but little is known about how the synergy among infections compounds clinical outcomes and costs. Injection drug use (IDU) converges multiple epidemics into a syndemic in the US, including opioid use and HIV. Estimated rates of new injection-related infections in the US are limited due to widely varying estimates of the number of PWID in the US, and in the absence of clinical trials and nationally representative longitudinal observational studies of PWID, simulation models provide important insights to policymakers for informed decisions.

METHODS

We developed and validated a MultimorbiditY model to Reduce Infections Associated with Drug use (MYRIAD). This microsimulation model of drug use and associated infections (HIV, hepatitis C virus [HCV], and severe bacterial infections) uses inputs derived from published data to estimate national level trends in the US. We used Latin hypercube sampling to calibrate model output against published data from 2015 to 2019 for fatal opioid overdose rates. We internally validated the model for HIV and HCV incidence and bacterial infection hospitalization rates among PWID. We identified best fitting parameter sets that met pre-established goodness-of-fit targets using the Pearson's chi-square test. We externally validated the model by comparing model output to published fatal opioid overdose rates from 2020.

RESULTS

Out of 100 sample parameter sets for opioid use, the model produced 3 sets with well-fitting results to key calibration targets for fatal opioid overdose rates with Pearson's chi-square test ranging from 1.56E-5 to 2.65E-5, and 2 sets that met validation targets. The model produced well-fitting results within validation targets for HIV and HCV incidence and serious bacterial infection hospitalization rates. From 2015 to 2019, the model estimated 120,000 injection-related overdose deaths, 17,000 new HIV infections, and 144,000 new HCV infections among PWID.

CONCLUSIONS

This multimorbidity microsimulation model, populated with data from national surveillance data and published literature, accurately replicated fatal opioid overdose, incidence of HIV and HCV, and serious bacterial infections hospitalization rates. The MYRIAD model of IDU could be an important tool to assess clinical and economic outcomes related to IDU behavior and infections with serious morbidity and mortality for PWID.

Substance Use and Adherence to Antiretroviral Therapy among People Living with HIV in the United States

People with HIV (PWH) report substance use at higher rates than HIV-uninfected individuals. The potential negative impact of single and polysubstance use on HIV treatment among diverse samples of PWH is underexplored. PWH were recruited from the Center for Positive Living at the Montefiore Medical Center (Bronx, NY, USA) from May 2017-April 2018 and completed a cross-sectional survey with measures of substance use, antiretroviral therapy (ART) use, and ART adherence. The overall sample included 237 PWH (54.1% Black, 42.2% female, median age 53 years). Approximately half of the sample reported any current substance use with 23.1% reporting single substance use and 21.4% reporting polysubstance use. Polysubstance use was more prevalent among those with current cigarette smoking relative to those with no current smoking and among females relative to males. Alcohol and cannabis were the most commonly reported polysubstance combination; however, a sizeable proportion of PWH reported other two, three, and four-substance groupings. Single and polysubstance use were associated with lower ART adherence. A thorough understanding of substance use patterns and related adherence challenges may aid with targeted public health interventions to improve HIV care cascade goals, including the integration of substance use prevention into HIV treatment and care settings.

Trends and distinct profiles of persons who inject drugs in the United States, 2015-2019

Drug injection represents a major health problem in the US, with severe health consequences including the transmission of blood-borne infections. An examination of the most recent trends in drug injection is warranted by the fast-evolving drug epidemic and recent policy changes such as the federal funding ban on needle exchange programs. This research examines current drug injection trends, patterns, and socioeconomic and behavioral profiles of people who inject drugs (PWID). Data were derived from the 2002 to 2019 National Survey on Drug Use and Health (NSDUH). After examining the annual prevalence of drug injection since 2002, a latent class analysis was conducted to identify drug injection and other substance misuse patterns among PWID using the latest (2015-2019) NSDUH datasets. Associations between class membership and behavioral health comorbidities and treatment receipt were also assessed. The drug injection prevalence among US adults aged 18-64 increased from 0.21% in 2002/2004 to 0.36% in 2017/2019. Three distinctive groups were identified: the heroin injection group (45.2%), the methamphetamine injection group (28.0%), and the multi-drug injection group (26.8%). The methamphetamine injection group reported greater risks of experiencing serious psychological distress, suicidality, and limited substance use treatment. Special attention is needed for those who primarily injected methamphetamine. Programs to promote harm reduction and increase access to addiction treatment need to be expanded in at-risk communities while accounting for their distinct socioeconomic and drug use/misuse profiles.