Hepatitis C Treatment in People With HIV: Potential to Eliminate Disease and Disparity.

Access to direct acting antivirals (DAAs) may be associated with reductions in hepatitis C virus (HCV) viremia prevalence among people with human immunodeficiency virus (PWH). Among 3755 PWH, estimated HCV viremia prevalence decreased by 94.0% from 36% (95% confidence interval [CI], 27%-46%) in 2009 (pre-DAA era) to 2% (95% CI, 0%-4%) in 2021 (DAA era). Male sex, black race, and older age were associated with HCV viremia in 2009 but not in 2021. Injection drug use remained associated with HCV viremia in 2009 and 2021. Targeted interventions are needed to meet the HCV care needs of PWH who use drugs.

Cohort profile update: the Johns Hopkins HIV clinical cohort, 1989-2023.

The Johns Hopkins HIV Clinical Cohort, established in 1989, links comprehensive, longitudinal clinical data for adults with HIV receiving care in the Johns Hopkins John G. Bartlett Specialty Practice in Baltimore, Maryland, USA, to aid in understanding HIV care and treatment outcomes. Data include demographics, laboratory results, inpatient and outpatient visit information and clinical diagnoses, and prescribed and dispensed medications abstracted from medical records. A subset of patients separately consents to self-report patient-centric outcomes on standardized instruments approximately every 6 months, and another subset separately consents to contribute plasma and peripheral blood mononuclear cells to a linked specimen repository approximately annually. The cohort has cumulatively enrolled over 8000 people, with just under 2000 on average attending ≥ 1 HIV primary care visit in any given year. The cohort reflects the HIV epidemic in Baltimore: in 2021, median age was 57, 64% of participants were male, 77% were non-Hispanic Black, and 37% acquired HIV through injection drug use. This update to the cohort profile of the Johns Hopkins HIV Clinical Cohort illustrates both how the population of people with HIV in Baltimore, Maryland, USA has changed over three decades, and we have adapted data collection procedures over three decades to ensure this long-running cohort remains responsive to patient characteristics and research gaps in the provision of care to people with HIV and substance use.

The Testing Imperative: Why the US Ending the Human Immunodeficiency Virus (HIV) Epidemic Program Needs to Renew Efforts to Expand HIV Testing in Clinical and Community-Based Settings.

Data from several modeling studies demonstrate that large-scale increases in human immunodeficiency virus (HIV) testing across settings with a high burden of HIV may produce the largest incidence reductions to support the US Ending the HIV Epidemic (EHE) initiative's goal of reducing new HIV infections 90% by 2030. Despite US Centers for Disease Control and Prevention's recommendations for routine HIV screening within clinical settings and at least yearly screening for individuals most at risk of acquiring HIV, fewer than half of US adults report ever receiving an HIV test. Furthermore, total domestic funding for HIV prevention has remained unchanged between 2013 and 2019. The authors describe the evidence supporting the value of expanded HIV testing, identify challenges in implementation, and present recommendations to address these barriers through approaches at local and federal levels to reach EHE targets.

Potential Effects of the Coronavirus Disease 2019 (COVID-19) Pandemic on Human Immunodeficiency Virus (HIV) Transmission: A Modeling Study in 32 US Cities.

BACKGROUND: The degree to which the 2019 novel coronavirus disease (COVID-19) pandemic will affect the US human immunodeficiency virus (HIV) epidemic is unclear. METHODS: We used the Johns Hopkins Epidemiologic and Economic Model to project HIV infections from 2020 to 2025 in 32 US metropolitan statistical areas (MSAs). We sampled a range of effects of the pandemic on sexual transmission (0-50% reduction), viral suppression among people with HIV (0-40% reduction), HIV testing (0-50% reduction), and pre-exposure prophylaxis use (0-30% reduction), and indexed reductions over time to Google Community Mobility Reports. RESULTS: Simulations projected reported diagnoses would drop in 2020 and rebound in 2021 or 2022, regardless of underlying incidence. If sexual transmission normalized by July 2021 and HIV care normalized by January 2022, we projected 1161 (1%) more infections from 2020 to 2025 across all 32 cities than if COVID-19 had not occurred. Among "optimistic" simulations in which sexual transmission was sharply reduced and viral suppression was maintained we projected 8% lower incidence (95% credible interval: 14% lower to no change). Among "pessimistic" simulations where sexual transmission was largely unchanged but viral suppression fell, we projected 11% higher incidence (1-21% higher). MSA-specific projections are available at www.jheem.org?covid. CONCLUSIONS: The effects of COVID-19 on HIV transmission remain uncertain and differ between cities. Reported diagnoses of HIV in 2020-2021 are likely to correlate poorly with underlying incidence. Minimizing disruptions to HIV care is critical to mitigating negative effects of the COVID-19 pandemic on HIV transmission.

Alcohol Use Disorder and Recent Alcohol Use and HIV Viral Non-Suppression Among People Engaged in HIV Care in an Urban Clinic, 2014-2018.

We estimated joint associations between having history of alcohol use disorder (AUD) (based on prior ICD-9/ICD-10 codes) and recent self-reported alcohol use and viral non-suppression (≥ 1 viral load measurement > 20 copies/mL in the same calendar year as alcohol consumption was reported) among patients on ART enrolled in routine care, 2014-2018, in an urban specialty clinic. Among 1690 patients, 26% had an AUD, 21% reported high-risk alcohol use, and 39% had viral non-suppression. Relative to person-years in which people without AUD reported not drinking, prevalence of viral non-suppression was higher in person-years when people with AUD reported drinking at any level; prevalence of viral non-suppression was not significantly higher in person-years when people with AUD reported not drinking or person-years when people without AUD reported drinking at any level. No level of alcohol use may be "safe" for people with a prior AUD with regard to maintaining viral suppression.

What Will It Take to End HIV in the United States? : A Comprehensive, Local-Level Modeling Study.

BACKGROUND: The Ending the HIV Epidemic (EHE) initiative aims to reduce incident HIV infections by 90% over a span of 10 years. The intensity of interventions needed to achieve this for local epidemics is unclear. OBJECTIVE: To estimate the effect of HIV interventions at the city level. DESIGN: A compartmental model of city-level HIV transmission stratified by age, race, sex, and HIV risk factor was developed and calibrated. SETTING: 32 priority metropolitan statistical areas (MSAs). PATIENTS: Simulated populations in each MSA. INTERVENTION: Combinations of HIV testing and preexposure prophylaxis (PrEP) coverage among those at risk for HIV, plus viral suppression in persons with diagnosed HIV infection. MEASUREMENTS: The primary outcome was the projected reduction in incident cases from 2020 to 2030. RESULTS: Absent intervention, HIV incidence was projected to decrease by 19% across all 32 MSAs. Modest increases in testing (1.25-fold per year), PrEP coverage (5 percentage points), and viral suppression (10 percentage points) across the population could achieve reductions of 34% to 67% by 2030. Twenty-five percent PrEP coverage, testing twice a year on average, and 90% viral suppression among young Black and Hispanic men who have sex with men (MSM) achieved similar reductions (13% to 68%). Including all MSM and persons who inject drugs could reduce incidence by 48% to 90%. Thirteen of 32 MSAs could achieve greater than 90% reductions in HIV incidence with large-scale interventions that include heterosexuals. A web application with location-specific results is publicly available (www.jheem.org). LIMITATION: The COVID-19 pandemic was not represented. CONCLUSION: Large reductions in HIV incidence are achievable with substantial investment, but the EHE goals will be difficult to achieve in most locations. An interactive model that can help policymakers maximize the effect in their local environments is presented. PRIMARY FUNDING SOURCE: National Institutes of Health.

The Effect of Buprenorphine on Human Immunodeficiency Virus Viral Suppression.

BACKGROUND: Opioid use is prevalent among people living with human immunodeficiency virus (HIV; PLWH) and adversely affects HIV outcomes. We assessed the effect of buprenorphine (BUP) initiation on subsequent HIV viral loads. METHODS: We identified PLWH from the Johns Hopkins HIV Clinical Cohort who initiated BUP between 2002 and 2017. Poisson regression with robust variance was used to estimate the prevalence of viral suppression (<200 copies/mL) before and after BUP initiation. We matched individuals who initiated BUP with controls based on viral load measurement dates and used prior event rate ratio (PERR) methods to estimate the effect of BUP initiation on viral suppression. PERR methods account for unmeasured confounders. RESULTS: We identified 279 PLWH who initiated BUP. After BUP initiation, PLWH were more likely to be virally suppressed (prevalence ratio [PR], 1.19; 95% confidence interval [CI], 1.03-1.37). After matching PLWH who initiated BUP to controls and accounting for measured and unmeasured confounders, BUP initiation increased viral suppression for both those on antiretroviral therapy (ART) at baseline (PERR PR, 1.08; 95% CI, 1.00-1.18) and those not on ART at baseline (PR, 1.31; 95% CI, 1.10-1.61). CONCLUSIONS: Our results indicate that the initiation of BUP results in an increase in the probability of being virally suppressed after accounting for both measured and unmeasured confounders. Persons with opioid use disorder should initiate BUP to not only treat substance use but also to increase viral suppression allowing for treatment as prevention.

Achieving a "step change" in the tuberculosis epidemic through comprehensive community-wide intervention: a model-based analysis.

BACKGROUND: Global progress towards reducing tuberculosis (TB) incidence and mortality has consistently lagged behind the World Health Organization targets leading to a perception that large reductions in TB burden cannot be achieved. However, several recent and historical trials suggest that intervention efforts that are comprehensive and intensive can have a substantial epidemiological impact. We aimed to quantify the potential epidemiological impact of an intensive but realistic, community-wide campaign utilizing existing tools and designed to achieve a "step change" in the TB burden. METHODS: We developed a compartmental model that resembled TB transmission and epidemiology of a mid-sized city in India, the country with the greatest absolute TB burden worldwide. We modeled the impact of a one-time, community-wide screening campaign, with treatment for TB disease and preventive therapy for latent TB infection (LTBI). This one-time intervention was followed by the strengthening of the tuberculosis-related health system, potentially facilitated by leveraging the one-time campaign. We estimated the tuberculosis cases and deaths that could be averted over 10 years using this comprehensive approach and assessed the contributions of individual components of the intervention. RESULTS: A campaign that successfully screened 70% of the adult population for active and latent tuberculosis and subsequently reduced diagnostic and treatment delays and unsuccessful treatment outcomes by 50% was projected to avert 7800 (95% range 5450-10,200) cases and 1710 (1290-2180) tuberculosis-related deaths per 1 million population over 10 years. Of the total averted deaths, 33.5% (28.2-38.3) were attributable to the inclusion of preventive therapy and 52.9% (48.4-56.9) to health system strengthening. CONCLUSIONS: A one-time, community-wide mass campaign, comprehensively designed to detect, treat, and prevent tuberculosis with currently existing tools can have a meaningful and long-lasting epidemiological impact. Successful treatment of LTBI is critical to achieving this result. Health system strengthening is essential to any effort to transform the TB response.

Changing Patterns of Alcohol Use and Probability of Unsuppressed Viral Load Among Treated Patients with HIV Engaged in Routine Care in the United States.

We examined HIV viral load non-suppression ([Formula: see text] 200 copies/mL) subsequent to person-periods (3-18 months) bookended by two self-reports of alcohol use on a standardized patient reported outcome assessment among adults in routine HIV care. We examined the relative risk (RR) of non-suppression associated with increases and decreases in alcohol use (relative to stable use), stratified by use at the start of the person-period. Increases in drinking from abstinence were associated with higher risk of viral non-suppression (low-risk without binge: RR 1.16, 95% CI 1.03, 1.32; low-risk with binge: RR 1.35, 95% CI 1.11, 1.63; high-risk: RR 1.89, 95% CI 1.16, 3.08). Decreases in drinking from high-risk drinking were weakly, and not statistically significantly associated with lower risk of viral non-suppression. Other changes in alcohol use were not associated with viral load non-suppression. Most changes in alcohol consumption among people using alcohol at baseline were not strongly associated with viral non-suppression.

A comparison of cancer stage at diagnosis and treatment initiation between enrollees in an urban HIV clinic and SEER.

PURPOSE: A comparison of stage at cancer diagnosis and cancer treatment rates between people with HIV (PWH) and the general US population is needed to identify any disparities by HIV status. METHODS: We compared 236 PWH in clinical care diagnosed with cancer from 1997 to 2014 to a sample from NCI's Surveillance, Epidemiology and End Results (SEER) Program, presumed to be HIV negative. We performed G-computation using random forest methods to estimate stage and treatment percent differences (PD) by HIV. We conducted sensitivity analyses among non-AIDS-defining cancers (NADC), by sex and by CD4 ≤ 200 or > 200 cells/mm3. RESULTS: PWH were less likely to be diagnosed at localized stage (PD = - 16%; 95% CI - 21, - 11) and more likely to be diagnosed at regional stage (PD = 14%; 95% CI 8, 19) than those in SEER. Cancer treatment rates were 13% lower among PWH as compared to SEER (95% CI - 18, - 8). The difference in percent receiving cancer treatment was more pronounced for those with lower CD4 at cancer diagnosis (PD -15%; 95% CI - 27, - 6). Lower treatment rates were observed among NADC, males, and women with CD4 ≤ 200. CONCLUSION: Cancer care for PWH could be improved by diagnosis at earlier stages and increasing rates of cancer treatment.

Recent Substance Use and Probability of Unsuppressed HIV Viral Load Among Persons on Antiretroviral Therapy in Continuity Care.

Among persons with human immunodeficiency virus (HIV) infection, illegal drug use and hazardous alcohol use are hypothesized to be strong risk factors for failure to achieve or maintain a suppressed HIV viral load, but accurate quantification of this association is difficult because of challenges involved in measuring substance use as part of routine clinical care. We estimated the associations of recent cocaine use, opioid/heroin use, and hazardous alcohol use with unsuppressed viral load among 1,554 persons receiving care at the John G. Bartlett Specialty Practice (Baltimore, Maryland) between 2013 and 2017. We accounted for measurement error in substance use using Bayesian models and prior estimates of the sensitivity and specificity of 2 imperfect measures of substance use derived from a previous analysis in this cohort. The prevalence difference for unsuppressed viral load associated with recent cocaine use was 11.3% (95% credible interval (CrI): 6.4, 17.0); that associated with recent opioid/heroin use was 13.2% (95% CrI: 6.6, 20.7); and that associated with recent hazardous alcohol use was 8.5% (95% CrI: 3.2, 14.4). Failure to account for measurement error resulted in clinically meaningful underestimates of the prevalence difference. Time-varying substance use is prevalent and difficult to measure in routine care; here we demonstrate a method that improves the utility of imperfect data by accounting for measurement error.

Do Symptoms of Depression Interact with Substance Use to Affect HIV Continuum of Care Outcomes?

Few studies examine how depression and substance use interact to affect HIV control. In 14,380 persons with HIV (PWH), we used logistic regression and generalized estimating equations to evaluate how symptoms of depression interact with alcohol, cocaine, opioid, and methamphetamine use to affect subsequent retention in care, maintaining an active prescription for ART, and consistent virologic suppression. Among PWH with no or mild depressive symptoms, heavy alcohol use had no association with virologic suppression (OR 1.00 [0.95-1.06]); among those with moderate or severe symptoms, it was associated with reduced viral suppression (OR 0.80 [0.74-0.87]). We found no interactions with heavy alcohol use on retention in care or maintaining ART prescription or with other substances for any outcome. These results highlight the importance of treating moderate or severe depression in PWH, especially with comorbid heavy alcohol use, and support multifaceted interventions targeting alcohol use and depression.

Measurement of Current Substance Use in a Cohort of HIV-Infected Persons in Continuity HIV Care, 2007-2015.

Accurate, routine measurement of recent illicit substance use is challenging. The Johns Hopkins Human Immunodeficiency Virus Clinical Cohort (Baltimore, Maryland) collects 2 imperfect but routine measurements of recent substance use: medical record review and self-interview. We used Bayesian latent class modeling to estimate sensitivity and specificity of each measurement as well as prevalence of substance use among 2,064 patients engaged in care during 2007-2015. Sensitivity of medical record review was higher than sensitivity of self-interview for cocaine and heroin use; posterior estimates ranged from 44% to 76% for cocaine use and from 39% to 67% for heroin use, depending on model assumptions and priors. In contrast, sensitivity of self-interview was higher than sensitivity of medical record review for any alcohol use, hazardous alcohol use, and cigarette smoking. Posterior estimates of sensitivity of self-interview were generally above 80%, 85%, and 87% for each substance, respectively. Specificity was high for all measurements. From one model, we estimated prevalence of substance use in the cohort to be 12.5% for cocaine, 9.3% for heroin, 48.5% for alcohol, 21.4% for hazardous alcohol, and 55.4% for cigarettes. Prevalence estimates from other models were generally comparable. Measurement error of substance use is nontrivial and should be accounted for in subsequent analyses.

Forecasting the effect of HIV-targeted interventions on the age distribution of people with HIV in Kenya.

OBJECTIVES: To provide accurate forecasts of the age distribution of people with HIV (PWH) in Kenya from 2025 to 2040. DESIGN: Development of a compartmental model of HIV in Kenya, calibrated to historical estimates of HIV epidemiology. METHODS: We forecasted changes in population size and age distribution of new HIV infections and PWH under the status quo and under scale-up of HIV services. RESULTS: Without scale-up, new HIV infections were forecasted to fall from 34 000 (28 000-41 000) in 2,025 to 29 000 (15 000-57 000) in 2,040; the percentage of new infections occurring among persons over 30 increased from 33% (20-50%) to 40% (24-62%). The median age of PWH increased from 39 years (38-40) in 2025 to 43 years (39-46) in 2040, and the percentage of PWH over age 50 increased from 26% (23-29%) to 34% (26-43%). Under the full intervention scenario, new infections were forecasted to fall to 6,000 (3,000-12 000) in 2,040. The percentage of new infections occurring in people over age 30 increased to 52% (34-71%) in 2,040, and there was an additional shift in the age structure of PWH [forecasted median age of 46 (43-48) and 40% (33-47%) over age 50]. CONCLUSION: PWH in Kenya are forecasted to age over the next 15 years; improvements to the HIV care continuum are expected to contribute to the growing proportion of older PWH.

The association of changes in depression severity after the onset of the COVID-19 pandemic and viral nonsuppression among people with HIV.

OBJECTIVE: This study sought to characterize changes in depressive symptom severity during the COVID-19 pandemic and the association of these changes with HIV viral nonsuppression among people with HIV (PWH). DESIGN: A clinical cohort study. METHODS: We included PWH in the Johns Hopkins HIV Clinical Cohort who completed the Patient Health Questionnaire 8 (PHQ-8) prepandemic (1 March 2018 to 28 February 2020) and during the COVID-era (1 September 2020 to 28 February 2022). PWH were classified according to depression severity categories prepandemic and during the COVID-era as: consistently depressed (prepandemic PHQ-8 >4 and no change in severity category); consistently nondepressed (prepandemic PHQ-8 ≤4 and no change in severity category); worsened (changed to a higher severity category) and; improved (change to a lower severity category). The association between changes in depressive symptom severity and viral nonsuppression (HIV RNA >200 copies/ml on the earliest viral load measured 7 days before to 12 months after the COVID-era PHQ-8 survey) was assessed using multivariable logistic regression. RESULTS: Of 793 PWH, mean age was 56 (SD 10) years, 60% were male individuals and 88% were Black. After the onset of the pandemic, 60% were consistently nondepressed, 9% were consistently depressed, 15% worsened and 16% improved. PWH who worsened had 2.47 times the odds of viral nonsuppression (95% CI: 1.09-5.55) compared with the nondepressed group. Associations among other groups were not statistically significant. CONCLUSION: Worsening depression during the COVID-era was associated with HIV viral nonsuppression. Strategies to monitor and address depression among PWH may contribute to reduced risk of viral nonsuppression.

The anxiety care continuum and its association with viral suppression among persons with HIV.

OBJECTIVE: It is unclear how often anxiety is diagnosed and treated and whether anxiety treatment is associated with improved viral suppression in persons with HIV. In this study, we characterized the anxiety care continuum and its association with viral suppression in a large urban HIV clinic in the United States. DESIGN: Observational cohort study. METHODS: We described the anxiety care continuum by combining data on self-reported anxiety symptoms, engagement in mental health care, clinical diagnoses and prescriptions from 1,967 persons receiving HIV care and treatment in Baltimore, Maryland, from 2014-23. We examined cross-sectional associations with viral suppression. All analyses were stratified by sex and race/ethnicity; a secondary analysis adjusted for age, years in care, and depressive symptoms. RESULTS: Nearly 1 in 5 patients reported mild-severe symptoms of anxiety but were not currently receiving mental health care or pharmacologic treatment for anxiety; 6% of patients reported anxiety symptoms but were receiving treatment, and 7% had been treated for anxiety that was currently in remission. The prevalence of viral suppression ranged from 87-89% across the anxiety care continuum except among patients with untreated moderate-severe anxiety, only 81% of whom were virally suppressed (95% CI: 80, 83). In adjusted models, untreated moderate-severe anxiety remained associated with viral non-suppression across demographic groups. CONCLUSION: We observed a robust association between untreated anxiety and viral non-suppression in a large urban cohort of persons with HIV. Screening for anxiety may identify patients with unmet mental health care needs who face barriers to maintaining viral suppression.

Association between switching to integrase strand transfer inhibitors and incident diabetes in people with HIV.

OBJECTIVE: Integrase strand transfer inhibitors (INSTI) are associated with weight gain in people with HIV (PWH), but their impact on diabetes is unclear. We evaluated the association between switching from nonnucleoside reverse-transcriptase inhibitors (NNRTI) or protease inhibitors (PI) to INSTI and incident diabetes. DESIGN: Longitudinal cohort study. METHODS: We included PWH aged ≥18 years from the Johns Hopkins HIV Clinical Cohort (2007-2023) without history of diabetes who had used NNRTI or PI for ≥180 days. We followed participants up to 10 years from HIV primary care visits where they switched to INSTI or continued NNRTI or PI. We estimated the hazard of incident diabetes associated with switching to INSTI using weighted Cox regression with robust variance estimator. RESULTS: We included 2075 PWH who attended 22 116 visits where they continued NNRTI or PI and 631 visits where they switched to INSTI. Switching to INSTI was associated with a weighted hazard ratio (wHR) of 1.11 [95% confidence interval (CI), 0.77-1.59] for incident diabetes. The association if no weight gain occurred during the first two years was not qualitatively different (wHR 1.22; 95% CI, 0.82-1.80). In a posthoc analysis, switching to INSTI conferred a significant wHR of 1.79 (95% CI, 1.13-2.84) for diabetes within the first two years but not after. CONCLUSIONS: Switching from NNRTI or PI to INSTI did not significantly increase overall diabetes incidence in PWH, although there may be elevated risk in the first two years. These findings can inform considerations when switching to INSTI-based regimens.

Joint effects of substance use disorders and recent substance use on HIV viral non-suppression among people engaged in HIV care in an urban clinic, 2014-2019.

AIMS: To estimate the joint effects of substance use disorder (SUD) and recent substance use on human immunodeficiency virus (HIV) non-suppression. DESIGN: Retrospective clinical cohort study with repeated observations within individuals. SETTING: Baltimore, Maryland, United States. PARTICIPANTS: 1881 patients contributed 10 794 observations. MEASUREMENTS: The primary independent variable was the combination of history of SUD and recent substance use. History of SUD was defined as any prior International Classification of Diseases 9/10 code for cocaine or opioid disorder. Recent substance use was defined as the self-report of cocaine or non-prescribed opioid use on the National Institute of Drug Abuse-modified Alcohol, Smoking and Substance Involvement Screening Test or clinician-documented cocaine or opioid use abstracted from the medical record. The outcome was viral non-suppression, defined as HIV RNA >200 copies/mL on the first viral load measurement within 1 year subsequent to each observation of substance use. We adjusted for birth sex, Black race, age, HIV acquisition risk factors, years in care and CD4 cell count. In secondary analyses, we also adjusted for depressive, anxiety and panic symptoms, cannabis use and cannabis use disorder. FINDINGS: On their first observation, 31% of patients had a history of an SUD and 18% had recent substance use. Relative to no history of SUD and no recent substance use, the 1-year fully adjusted risk difference (RD) for viral non-suppression associated with cocaine and opioid use disorder and recent substance use was 7.7% (95% CI = 5.3%-10.0%), the RD was 5.5% (95% CI = 1.2%-9.7%) for history of cocaine use disorder without recent substance use, and the RD was 4.6% (95% CI = 2.7%-6.5%) for recent substance use without a SUD. CONCLUSIONS: Substance use and substance use disorders appear to be highly prevalent among, and independently associated with, viral non-suppression among people with HIV.

Measuring time in buprenorphine treatment stages among people with HIV and opioid use disorder by retention definition and its association with cocaine and hazardous alcohol use.

BACKGROUND: We use a novel, longitudinal approach to describe average time spent in opioid use disorder (OUD) cascade of care stages for people with HIV (PWH) and with OUD, incorporating four definitions of treatment retention. Using this approach, we describe the impact of cocaine or hazardous alcohol use on time spent retained on buprenorphine. METHODS: We followed PWH with OUD enrolled in the Johns Hopkins HIV Clinical Cohort from their first buprenorphine treatment episode between 2013 and 2020. We estimated 4-year restricted mean time spent on buprenorphine below buprenorphine retention threshold, on buprenorphine above retention threshold, off buprenorphine and in HIV care, loss to follow-up, and death. Retention definitions were based on retention threshold (180 vs 90 days) and allowable treatment gap (7 vs 30 days). Differences in 2-year restricted mean time spent retained on buprenorphine were estimated for patients with and without cocaine or hazardous alcohol use. RESULTS: The study sample (N = 179) was 63% male, 82% non-Hispanic Black, and mean age was 53 (SD 8) years. Patients spent on average 13.9 months (95% CI 11.4, 16.4) on buprenorphine over 4 years. There were differences in time spent retained on buprenorphine based on the retention definition, ranging from 6.5 months (95% CI 4.6, 8.5) to 9.6 months (95% CI 7.4, 11.8). Patients with cocaine use spent fewer months retained on buprenorphine. There were no differences for patients with hazardous alcohol use. CONCLUSIONS: PWH with OUD spend relatively little time receiving buprenorphine in their HIV primary care clinic. Concurrent cocaine use at buprenorphine initiation negatively impact time on buprenorphine.