Facilitation and Preferred Models for Delivering Substance Use Disorder Treatment in HIV Clinics: Results From a Multisite Randomized Trial.

BACKGROUND: Integrated addiction treatment in HIV clinics is associated with improved outcomes, yet it is offered inconsistently and with variable models of care. We sought to evaluate the impact of Implementation Facilitation ("Facilitation") on clinician and staff preference for provision of addiction treatment in HIV clinics with on-site resources (all trained or designated on-site specialist) versus outside resources (outside specialist or refer out). METHODS: From July 2017 to July 2020, surveys assessed clinician and staff preferences for addiction treatment models during control (ie, baseline), intervention, evaluation, and maintenance phases in 4 HIV clinics in the Northeast United States. RESULTS: During the control phase, among 76 respondents (response rate, 58%), the proportions who preferred treatment with on-site resources for opioid use disorder (OUD), alcohol use disorder (AUD), and tobacco use disorder (TUD) were 63%, 55%, and 63%, respectively. Compared with control, there were no significant differences in preferred model during the intervention and evaluation phases except for AUD where there was an increased preference for treatment with on-site resources in the intervention versus control phase. Compared with control, during the maintenance phase, a higher proportion of clinicians and staff preferred providing addiction treatment with on-site resources versus outside resources: OUD, 75% (odds ratio [OR; 95% confidence interval {CI}], 1.79 [1.06-3.03]); AUD, 73% (OR [95% CI], 2.23 [1.36-3.65]), and TUD, 76% (OR [95% CI], 1.88 [1.11-3.18]). CONCLUSIONS: The findings from this study lend support for "Facilitation" as a strategy to enhance clinician and staff preference for integrated addiction treatment in HIV clinics with on-site resources.

Effect of Implementation Facilitation to Promote Adoption of Medications for Addiction Treatment in US HIV Clinics: A Randomized Clinical Trial.

Importance: Medications for addiction treatment (MAT) are inconsistently offered in HIV clinics. Objective: To evaluate the impact of implementation facilitation (hereafter referred to as "facilitation"), a multicomponent implementation strategy, on increasing provision of MAT for opioid use disorder (MOUD), alcohol use disorder (MAUD), and tobacco use disorder (MTUD). Design, Setting, and Participants: Conducted from July 26, 2016, through July 25, 2020, the Working with HIV Clinics to adopt Addiction Treatment using Implementation Facilitation (WHAT-IF?) study used an unblinded, stepped wedge design to sequentially assign each of 4 HIV clinics in the northeastern US to cross over from control (ie, baseline practices) to facilitation (ie, intervention) and then evaluation and maintenance periods every 6 months. Participants were adult patients with opioid, alcohol, or tobacco use disorder. Data analysis was performed from August 2020 to September 2022. Interventions: Multicomponent facilitation. Main Outcomes and Measures: Outcomes, assessed using electronic health record data, were provision of MAT among patients with opioid, alcohol, or tobacco use disorder during the evaluation (primary outcome) and maintenance periods compared with the control period. Results: Among 3647 patients, the mean (SD) age was 49 (12) years, 1814 (50%) were Black, 781 (22%) were Hispanic, and 1407 (39%) were female; 121 (3%) had opioid use disorder, 126 (3%) had alcohol use disorder, and 420 (12%) had tobacco use disorder. Compared with the control period, there was no increase in provision of MOUD with facilitation during the evaluation period (243 patients [27%; 95% CI, 22%-32%] vs 135 patients [28%; 95% CI, 22%-35%]; P = .59) or maintenance period (198 patients [29%; 95% CI, 22%-36%]; P = .48). The change in provision of MAUD from the control period to the evaluation period was not statistically significant (251 patients [8%; 95% CI, 5%-12%] vs 112 patients [13%; 95% CI, 8%-21%]; P = .11); however, the difference increased and became significant during the maintenance period (180 patients [17%; 95% CI, 12%-24%]; P = .009). There were significant increases in provision of MTUD with facilitation during both the evaluation (810 patients [33%; 95% CI, 30%-36%] vs 471 patients [40%; 95% CI, 36%-45%]; P = .005) and maintenance (643 patients [38%; 95% CI, 34%-41%]; P = .047) periods. Conclusions and Relevance: In this randomized clinical trial, facilitation led to increased provision of MTUD, delayed improvements in MAUD, and no improvements in MOUD in HIV clinics. Enhanced strategies, potentially including clinic and patient incentives, especially for MOUD, may be needed to further increase provision of MAT in HIV clinics. Trial Registration: ClinicalTrials.gov Identifier: NCT02907944.

Patients' perspectives of medications for addiction treatment in HIV clinics: A qualitative study.

BACKGROUND: While substance use disorders (SUD) disproportionately impact people with HIV (PWH), HIV clinics inconsistently provide evidence-based medications for addiction treatment (MAT). Patient receptivity to MAT is critical to enhance addiction treatment in these settings. However, we know little from patients about how to best integrate MAT into HIV clinics. METHODS: This qualitative study used four focus groups informed by the Promoting Action on Research Implementation in Health Services framework to identify barriers and facilitators to receiving opioid, alcohol, and tobacco use disorder care in HIV clinics. The study population included 28 patients with HIV and SUD receiving care at one of four HIV clinics in the northeastern United States. Focus groups were recorded and transcribed for content analysis. The study also performed a brief survey assessing demographics and behaviors. RESULTS: Focus groups revealed several major themes related to MAT in HIV clinics. Barriers included stigma around MAT, knowledge deficits about available MAT options and the impact of substance use on PWH, concerns about medication side effects, substance use screening without adequate clinician follow-up, and peers who discouraged MAT. Facilitators included recognition of substance use as a threat to overall health, integrated care from HIV clinicians, and support for addiction treatment from peers with lived experience. CONCLUSIONS: Efforts to enhance MAT in HIV clinics should include patient education to help them recognize addiction as a chronic disease with available medication treatment options; clinician and staff training to promote integrated, multidisciplinary screening and treatment; and thoughtful inclusion of peers with lived experience.

A Case of Kratom Use: Implications for Managing Addiction and Addressing Comorbidity in Overdose Survivors, and for the Education of Clinicians Who Are Not Addiction Specialists.

As overdose mortality rises, overdose morbidity - complications seen as a result of overdose events - is rising too. Although comorbidity is often thought of as psychiatric or psychological, a case report of compartment syndrome, rhabdomyolysis, and acute renal insufficiency in a patient with loss of consciousness for 6 hours after smoking Kratom highlights medical comorbidity. The case is a reminder that a broad range of medical comorbidities can occur in patients with overdose and with unhealthy substance use. Patients with these comorbidities will often be cared for by clinicians who are not addiction specialists, who will need to have sufficient training to recognize and address them.

Association of Syndemic Unhealthy Alcohol Use, Smoking, and Depressive Symptoms on Incident Cardiovascular Disease among Veterans With and Without HIV-Infection.

Unhealthy alcohol use, smoking, and depressive symptoms are risk factors for cardiovascular disease (CVD). Little is known about their co-occurrence - termed a syndemic, defined as the synergistic effect of two or more conditions-on CVD risk in people with HIV (PWH). We used data from 5621 CVD-free participants (51% PWH) in the Veteran's Aging Cohort Study-8, a prospective, observational study of veterans followed from 2002 to 2014 to assess the association between this syndemic and incident CVD by HIV status. Diagnostic codes identified cases of CVD (acute myocardial infarction, stroke, heart failure, peripheral artery disease, and coronary revascularization). Validated measures of alcohol use, smoking, and depressive symptoms were used. Baseline number of syndemic conditions was categorized (0, 1, ≥ 2 conditions). Multivariable Cox Proportional Hazards regressions estimated risk of the syndemic (≥ 2 conditions) on incident CVD by HIV-status. There were 1149 cases of incident CVD (52% PWH) during the follow-up (median 10.1 years). Of the total sample, 64% met our syndemic definition. The syndemic was associated with greater risk for incident CVD among PWH (Hazard Ratio [HR] 1.87 [1.47-2.38], p < 0.001) and HIV-negative veterans (HR 1.70 [1.35-2.13], p < 0.001), compared to HIV-negative with zero conditions. Among those with the syndemic, CVD risk was not statistically significantly higher among PWH vs. HIV-negative (HR 1.10 [0.89, 1.37], p = .38). Given the high prevalence of this syndemic combined with excess risk of CVD, these findings support linked-screening and treatment efforts.

Readiness to Provide Medications for Addiction Treatment in HIV Clinics: A Multisite Mixed-Methods Formative Evaluation.

BACKGROUND: We sought to characterize readiness, barriers to, and facilitators of providing medications for addiction treatment (MAT) in HIV clinics. SETTING: Four HIV clinics in the northeastern United States. METHODS: Mixed-methods formative evaluation conducted June 2017-February 2019. Surveys assessed readiness [visual analog scale, less ready (0-<7) vs. more ready (≥7-10)]; evidence and context ratings for MAT provision; and preferred addiction treatment model. A subset (n = 37) participated in focus groups. RESULTS: Among 71 survey respondents (48% prescribers), the proportion more ready to provide addiction treatment medications varied across substances [tobacco (76%), opioid (61%), and alcohol (49%) treatment medications (P values < 0.05)]. Evidence subscale scores were higher for those more ready to provide tobacco [median (interquartile range) = 4.0 (4.0, 5.0) vs. 4.0 (3.0, 4.0), P = 0.008] treatment medications, but not significantly different for opioid [5.0 (4.0, 5.0) vs. 4.0 (4.0, 5.0), P = 0.11] and alcohol [4.0 (3.0, 5.0) vs. 4.0 (3.0, 4.0), P = 0.42] treatment medications. Median context subscale scores ranged from 3.3 to 4.0 and generally did not vary by readiness status (P values > 0.05). Most favored integrating MAT into HIV care but preferred models differed across substances. Barriers to MAT included identification of treatment-eligible patients, variable experiences with MAT and perceived medication complexity, perceived need for robust behavioral services, and inconsistent availability of on-site specialists. Facilitators included knowledge of adverse health consequences of opioid and tobacco use, local champions, focus on quality improvement, and multidisciplinary teamwork. CONCLUSIONS: Efforts to implement MAT in HIV clinics should address both gaps in perspectives regarding the evidence for MAT and contextual factors and may require substance-specific models.

Does Reducing Drinking in Patients with Unhealthy Alcohol Use Improve Pain Interference, Use of Other Substances, and Psychiatric Symptoms?

BACKGROUND: We aimed to investigate the impact of reducing drinking in patients with unhealthy alcohol use on improvement of chronic pain interference, substance use, and psychiatric symptoms. METHODS: We analyzed longitudinal data from 2003 to 2015 in the Veterans Aging Cohort Study, a prospective, multisite observational study of US veterans, by emulating a hypothetical randomized trial (a target trial). Alcohol use was assessed using the Alcohol Use Disorders Identification Test (AUDIT) questionnaire, and outcome conditions were assessed via validated survey items. Individuals were followed from the first time their AUDIT score was ≥ 8 (baseline), a threshold consistent with unhealthy alcohol use. We compared individuals who reduced drinking (AUDIT < 8) at the next follow-up visit with individuals who did not (AUDIT ≥ 8). We fit separate logistic regression models to estimate odds ratios for improvement of each condition 2 years postbaseline among individuals who had that condition at baseline: moderate or severe pain interference symptoms, tobacco smoking, cannabis use, cocaine use, depressive symptoms, and anxiety symptoms. Inverse probability weighting was used to account for potential selection bias and confounding. RESULTS: Adjusted 2-year odds ratios (95% confidence intervals) for associations between reducing drinking and improvement or resolution of each condition were as follows: 1.49 (0.91, 2.42) for pain interference symptoms, 1.57 (0.93, 2.63) for tobacco smoking, 1.65 (0.92, 2.95) for cannabis use, 1.83 (1.03, 3.27) for cocaine use, 1.11 (0.64, 1.92) for depressive symptoms, and 1.33 (0.80, 2.22) for anxiety symptoms. CONCLUSIONS: We found some evidence for improvement of pain interference symptoms and substance use after reducing drinking among US veterans with unhealthy alcohol use, but confidence intervals were wide.

Working with HIV clinics to adopt addiction treatment using implementation facilitation (WHAT-IF?): Rationale and design for a hybrid type 3 effectiveness-implementation study.

BACKGROUND: Tobacco, alcohol and opioid misuse are associated with substantial morbidity and mortality among people with HIV (PWH). Despite existence of evidence-based counseling and medications for addiction, these treatments are infrequently offered in HIV clinics. The Working with HIV clinics to adopt Addiction Treatment using Implementation Facilitation (WHAT-IF?) study was conducted to address this implementation challenge. The study's goals were to conduct a formative evaluation of barriers to and facilitators of implementing addiction treatment for PWH followed by an evaluation of the impact of Implementation Facilitation (IF) on promoting adoption of addiction treatments and clinical outcomes. METHODS: The study was conducted at four HIV clinics in the northeast United States, using a hybrid type 3 effectiveness-implementation stepped wedge design and guided by the Promoting Action on Research Implementation in Health Services Research (PARiHS) framework. A mixed-methods approach was used to identify evidence, context, and facilitation-related barriers to and facilitators of integration of addiction treatments into HIV clinics and to help tailor IF for each clinic. An evaluation was then conducted of the impact of IF on implementation outcomes, including provision of addiction treatment (primary outcome), organizational and clinician and staff readiness to adopt addiction treatment, and changes in organizational models of care used to deliver addiction treatment. The evaluation also included IF's impact on effectiveness outcomes, specifically HIV-related outcomes among patients eligible for addiction treatment. CONCLUSIONS: Results will generate important information regarding the impact of IF as a reproducible strategy to promote addiction treatment in HIV clinics.

Insights Provided by Depression Screening Regarding Pain, Anxiety, and Substance use in a Veteran Population.

OBJECTIVE: We sought to quantify the extent to which a depression screening instrument commonly used in primary care settings provides additional information regarding pain interference symptoms, anxiety, and substance use. METHODS: Veterans Aging Cohort Study (VACS) data collected from 2003 through 2015 was used to calculate odds ratios (OR) for associations between positive depression screening result cutoffs and clustering conditions. We assessed the test performance characteristics (likelihood ratio value, positive predictive value, and the percentage of individuals correctly classified) of a positive Patient Health Questionnaire (PHQ-9 & PHQ-2) depression screen for the identification of pain interference symptoms, anxiety, and substance use. RESULTS: A total 7731 participants were included in the analyses. The median age was 50 years. The PHQ-9 threshold of ≥20 was strongly associated with pain interference symptoms (OR 21.6, 95% CI 17.5-26.7) and anxiety (OR 72.1, 95% CI 52.8-99.0) and yielded likelihood ratio values of 7.5 for pain interference symptoms and 21.8 for anxiety and positive predictive values (PPV) of 84% and 95%, respectively. A PHQ-9 score of ≥10 still showed significant associations with pain interference symptoms (OR 6.1, 95% CI 5.4-6.9) and symptoms of anxiety (OR 11.3, 95% CI 9.7-13.1) and yet yielded lower likelihood ratio values (4.36 & 8.24, respectively). The PHQ-9 was less strongly associated with various forms of substance use. CONCLUSION: Depression screening provides substantial additional information regarding the likelihood of pain interference symptoms and anxiety and should trigger diagnostic assessments for these other conditions.

Marijuana Vaping in U.S. Adults: Evidence From the Behavioral Risk Factor Surveillance System.

INTRODUCTION: As of February 18, 2020, states have reported 2,807 cases of e-cigarette, or vaping, product use-associated lung injury to the Centers for Disease Control and Prevention. Most cases involved cannabinoids. This study identifies current risk factors for adult marijuana vaping by analyzing 2017 and 2018 Behavioral Risk Factor Surveillance System data. METHODS: Data on 8,255 people who recently used marijuana were analyzed in September 2019. Sample-weighted multivariate logistic regressions considered a binary indicator for vaping as the primary method of marijuana use. Adjusting for demographic controls, regressions assessed the association between marijuana vaping and marijuana use for medical purposes (versus nonmedical only), current conventional cigarette use, current nicotine e-cigarette use, and 2 mental health variables. Demographic controls were binary indicators for female sex, Hispanic ethnicity, race, and having completed ≥1 year of college. RESULTS: Odds of marijuana vaping were higher among those who reported using for medical purposes (AORage18-24years=3.8, 95% CI=1.91, 7.67; AORage25-54years=1.8, 95% CI=1.02, 3.08; AORage55-64years=2.3, 95% CI=0.75, 7.07) and lower among people who smoked combustible cigarettes (AORage18-24years=0.2, 95% CI=0.06, 0.65; AORage25-54years=0.2, 95% CI=0.10, 0.26; AORage55-64years=0.1, 95% CI=0.05, 0.34). Vaping nicotine e-cigarettes was associated with greater odds of vaping marijuana for adults aged 25-54 years (AOR=4.6, 95% CI=2.70, 7.78) but not those aged 18-24 years (AOR=0.9, 95% CI=0.33, 2.26). CONCLUSIONS: Among people who use marijuana, adults reporting medical marijuana use were more likely to vape as their primary mode of consumption, whereas conventional cigarette smokers were less likely to do so. Use of nicotine e-cigarettes was associated with a greater likelihood of vaping marijuana for adults aged 25-54 years.

Association of Alcohol Screening Scores With Adverse Mental Health Conditions and Substance Use Among US Adults.

Importance: Alcohol screening may be associated with health outcomes that cluster with alcohol use (ie, alcohol-clustering conditions), including depression, anxiety, and use of tobacco, marijuana, and illicit drugs. Objective: To quantify the extent to which alcohol screening provides additional information regarding alcohol-clustering conditions and to compare 2 alcohol use screening tools commonly used for this purpose. Design, Setting, and Participants: This longitudinal cohort study used data from the Veterans Aging Cohort Study. Data were collected at 8 Veterans Health Administration facilities from 2003 through 2012. A total of 7510 participants were enrolled, completed a baseline survey, and were followed up. Veterans with HIV were matched with controls without HIV by age, race, sex, and site of care. Data were analyzed from January 2019 to December 2019. Exposures: The Alcohol Use Disorders Identification Test (AUDIT) and Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) were used to assess alcohol use, with 4 risk groups delineated for each test: score 0 to 7 (reference), score 8 to 15, score 16 to 19, and score 20 to 40 (maximum score) for the full AUDIT and score 0 to 3 (reference), score 4 to 5, score 6 to 7, and score 8 to 12 (maximum score) for the AUDIT-C. Main Outcomes and Measures: Alcohol-clustering conditions, including self-reported symptoms of depression and anxiety and use of tobacco, marijuana, cocaine, other stimulants, opioids, and injection drugs. Results: A total of 6431 US patients (6104 [95%] men; median age during survey years 2003-2004, 50 years [range, 28-86 years; interquartile range, 44-55 years]) receiving care in the Veterans Health Administration completed 1 or more follow-up surveys when the AUDIT was administered and were included in the present analyses. Of the male participants, 4271 (66%) were African American, 1498 (24%) were white, and 590 (9%) were Hispanic. The AUDIT and AUDIT-C scores were associated with each alcohol-clustering condition. In particular, an AUDIT score of 20 or higher (vs <8, the reference) was associated with symptoms of depression (odds ratio [OR], 8.37; 95% CI, 6.20-11.29) and anxiety (OR, 8.98; 95% CI, 6.39-12.60) and with self-reported use of tobacco (OR, 14.64; 95% CI, 8.94-23.98), marijuana (OR, 12.41; 95% CI, 8.61-17.90), crack or cocaine (OR, 39.47; 95% CI, 27.38-56.90), other stimulants (OR, 21.31; 95% CI, 12.73-35.67), and injection drugs (OR, 8.67; 95% CI, 5.32-14.13). An AUDIT score of 20 or higher yielded likelihood ratio (sensitivity / 1 - specificity) values greater than 3.5 for depression, anxiety, crack or cocaine use, and other stimulant use. Associations between AUDIT-C scores and alcohol-clustering conditions were more modest. Conclusions and Relevance: Alcohol screening can inform decisions about further screening and diagnostic assessment for alcohol-clustering conditions, particularly for depression, anxiety, crack or cocaine use, and other stimulant use. Future studies using clinical diagnoses rather than screening tools to assess alcohol-clustering conditions may be warranted.

Developing a clinical decision support for opioid use disorders: a NIDA center for the clinical trials network working group report.

There is an urgent need for strategies to address the US epidemic of prescription opioid, heroin and fentanyl-related overdoses, misuse, addiction, and diversion. Evidence-based treatment such as medications for opioid use disorder (MOUD) are available but lack numbers of providers offering these services to meet the demands. Availability of electronic health record (EHR) systems has greatly increased and led to innovative quality improvement initiatives but this has not yet been optimized to address the opioid epidemic or to treat opioid use disorder (OUD). This report from a clinical decision support (CDS) working group convened by the NIDA Center for the Clinical Trials Network aims to converge electronic technology in the EHR with the urgent need to improve screening, identification, and treatment of OUD in primary care settings through the development of a CDS algorithm that could be implemented as a tool in the EHR. This aim is consistent with federal, state and local government and private sector efforts to improve access and quality of MOUD treatment for OUD, existing clinical quality and HEDIS measures for OUD or drug and alcohol use disorders, and with a recent draft grade B recommendation from the US Preventative Services Task Force (USPSTF) for screening for illicit drug use in adults when appropriate diagnosis, treatment and care services can be offered or referred. Through a face-to-face expert panel meeting and multiple follow-up conference calls, the working group drafted CDS algorithms for clinical care felt to be essential for screening, diagnosis, and management of OUD in primary care. The CDS algorithm was reviewed by addiction specialists and primary care providers and revised based on their input. A clinical decision support tool for OUD screening, assessment, and treatment within primary care systems may help improve healthcare delivery to help address the current epidemic of opioid misuse and overdose that has outpaced the capacity of specialized treatment settings. A semi-structured outline of clinical decision support for OUD was developed to facilitate implementation within the EHR. Further work for adaptation at specific sites and for testing is needed.

Accidental drug overdose deaths in Connecticut, 2012-2018: The rise of polysubstance detection?

OBJECTIVES: To examine trends in polysubstance detection associated with drug-related overdose deaths in Connecticut. METHODS: We used 2012-2018 data provided by Connecticut's Office of the Chief Medical Examiner (OCME) on accidental overdose deaths. We estimated annual trends, standardizing the number of deaths per 100,000 Connecticut residents each year. We then conducted stratified analyses by polysubstance use status. We also examined the numbers of deaths involving fentanyl in a separate analysis. We obtained data in April 2019, and statistical analyses were performed from April to September 2019. RESULTS: The rate of overdose deaths in Connecticut increased from 9.9 per 100,000 residents in 2012 to 28.5 per 100,000 residents in 2018-a 221 % increase-with the majority occurring among persons aged 35-64 (65.3 %), men (73.9 %), and non-Hispanic whites (78.5 %). Among deaths involving fentanyl, the overall deaths escalated from 5.2 deaths per 100,000 residents in 2015 to 21.3 deaths per 100,000 residents in 2018, and more than 50% of these fentanyl-related deaths involved polysubstance use. CONCLUSIONS: Connecticut experienced a more-than doubling of opioid-involved overdose deaths, largely driven by fentanyl and polysubstance use. The role of polysubstance use should be considered in efforts toward reducing opioid-related overdose incidents.

Association of Syndemic Unhealthy Alcohol Use, Cigarette Use, and Depression With All-Cause Mortality Among Adults Living With and Without HIV Infection: Veterans Aging Cohort Study.

BACKGROUND: The prevalence and risk of concurrent unhealthy drinking, cigarette use, and depression on mortality among persons living with HIV (PLWH) is unclear. This study applied a syndemic framework to assess whether these co-occurring conditions increase mortality and whether such risk is differential by HIV status. METHODS: We evaluated 6721 participants (49.8% PLWH) without baseline cancer from the Veterans Aging Cohort Study, a prospective, observational cohort of PLWH and matched uninfected veterans enrolled in 2002 and followed through 2015. Multivariable Cox proportional hazards regressions estimated risk of a syndemic score (number of conditions: that is, unhealthy drinking, cigarette use, and depressive symptoms) on all-cause mortality by HIV status, adjusting for demographic, health status, and HIV-related factors. RESULTS: Fewer than 10% of participants had no conditions; 25.6% had 1, 51.0% had 2, and 15.0% had all 3. There were 1747 deaths (61.9% PLWH) during the median follow-up (11.4 years). Overall, age-adjusted mortality rates/1000 person-years increased with a greater number of conditions: (0: 12.0; 1: 21.2; 2: 30.4; 3: 36.3). For 3 conditions, the adjusted hazard ratio of mortality was 36% higher among PLWH compared with uninfected participants with 3 conditions (95% confidence interval, 1.07-1.72; P = .013), after adjusting for health status and HIV disease progression. Among PLWH and uninfected participants, mortality risk persisted after adjustment for time-updated health status. CONCLUSIONS: Syndemic unhealthy drinking, cigarette use, and depression are common and are associated with higher mortality risk among PLWH, underscoring the need to screen for and treat these conditions.

High-dose prescribed opioids are associated with increased risk of heroin use among United States military veterans.

Despite evidence linking increased risk of opioid use disorder with specific opioid-prescribing patterns, the relationship between these patterns and heroin use is less understood. This study aimed to determine whether dose and duration of opioid prescriptions predict subsequent heroin use in United States veterans. We analyzed data from 2002 to 2012 from the Veterans Aging Cohort Study, a prospective cohort study. We used inverse probability of censoring weighted Cox regression to examine the relationship between self-reported past year heroin use and 2 primary predictors: (1) prior receipt of a high-dose opioid prescription (≥90 mg morphine equivalent daily dose), and (2) prior receipt of a long-term opioid prescription (≥90 days). Heroin use was ascertained using most recent value of time-updated self-reported past year heroin use. Models were adjusted for HIV and hepatitis C virus infection status, sociodemographics, pain interference, posttraumatic stress disorder, depression, and use of marijuana, cocaine, methamphetamines, and unhealthy alcohol use. In the final model, prior receipt of a high-dose opioid prescription was associated with past year heroin use (adjusted hazard ratio use = 2.54, 95% confidence interval: 1.26-5.10), whereas long-term opioid receipt was not (adjusted hazard ratio = 1.09, 95% confidence interval: 0.75-1.57). Patients receiving high-dose opioid prescriptions should be monitored for heroin use. These findings support current national guidelines recommending against prescribing high-dose opioids for treating pain.

Predictors of timely opioid agonist treatment initiation among veterans with and without HIV.

BACKGROUND: Opioid use disorder (OUD) is prevalent among people with HIV (PWH). Opioid agonist therapy (OAT) is the most effective treatment for OUD and is associated with improved health outcomes, but is often not initiated. To inform clinical practice, we identified factors predictive of OAT initiation among patients with and without HIV. METHODS: We identified 19,698 new clinical encounters of OUD between 2000 and 2012 in the Veterans Aging Cohort Study (VACS), a national observational cohort of PWH and matched uninfected controls. Mixed effects models examined factors predictive of OAT initiation within 30-days of a new OUD clinical encounter. RESULTS: 4.9% of both PWH and uninfected patients initiated OAT within 30 days of a new OUD clinical encounter. In adjusted models, participants with a psychiatric diagnosis (aOR = 0.54, 95% CI 0.47 - 0.62), PWH (aOR = 0.79, 95% CI 0.68-0.92), and rural residence (aOR = 0.56, 95% CI 0.39-0.78) had a lower likelihood of any OAT initiation, while African-American patients (aOR = 1.60, 95% CI 1.34-1.92), those with an alcohol related diagnosis (aOR = 1.76, 95% CI 1.48-2.08), diagnosis year 2005-2008 relative to 2000-2004 (aOR = 1.24, 95% CI 1.05-1.45), and patients with HCV (aOR = 1.50, 95% CI 1.27-1.77) had a greater likelihood of initiating any OAT within 30 days. Predictive factors were similar in the total sample and PWH only models. CONCLUSIONS: PWH were less likely to receive timely OAT initiation than demographically similar uninfected patients. Given the health benefits of such treatment, the low rate of OAT initiation warrants focused efforts in both PWH and uninfected populations.

Electronic cigarette and tobacco use in individuals entering methadone or buprenorphine treatment.

BACKGROUND: Although smoking is prevalent among populations with opioid use disorder (OUD), few studies have examined electronic cigarette (EC) use in individuals seeking opioid agonist therapy (OAT). The aim of this study was to evaluate the prevalence and correlates of EC use among individuals seeking OAT. METHODS: 782 patients seeking OAT for OUD completed surveys assessing current and past EC use, reasons for use, current and past cigarette smoking, nicotine dependence, psychiatric distress, trauma, and pain. Bivariate and multivariate models evaluated correlates of daily EC use, past-30-day EC use, and current cigarette smoking. RESULTS: 6% of patients reported daily EC use, 18% reported past-30-day use, 62% reported EC use history, and 85% reported current cigarette smoking. 46% reported using ECs to quit or cut down smoking. In multivariate analyses, daily EC use was associated with higher odds of being a former smoker (OR 21; CI 1.7-273) and lower odds of ever smoking more than 100 cigarettes (OR 0.07; CI 0.01-0.32), while EC use in the past 30 days was associated with lower odds of being Caucasian (OR 0.55; CI 0.34-0.89), ever smoking more than 100 cigarettes (OR 0.13; CI 0.02-0.67), and history of chronic pain (OR 0.59; CI 0.38-0.90), and higher odds of reporting psychiatric distress (OR 1.5; CI 1.1-2.2). CONCLUSIONS: EC use is common among people with OUD who smoke cigarettes. Those with daily use had higher odds of being former smokers than current smokers. Interventions using ECs may be effective to help reduce harms and mortality in OUD.

Efficacy of Extended-Release Naltrexone on HIV-Related and Drinking Outcomes Among HIV-Positive Patients: A Randomized-Controlled Trial.

We sought to test the efficacy of extended-release naltrexone (XR-NTX) on HIV-related and drinking outcomes. From April 2011-February 2015, we conducted a 4-site randomized double-blind placebo controlled clinical trial involving 51 HIV-positive patients with heavy drinking and < 95% antiretroviral (ART) adherence. All participants received counseling. The primary outcome was proportion with ≥ 95% ART adherence. Secondary outcomes included HIV biomarkers, VACS Index score, and past 30-day heavy drinking days. Based on receipt of ≥ 5 injections, 23 participants were retained at 24 weeks. We did not detect an effect of XR-NTX on ART adherence (p = 0.38); undetectable HIV viral load (p = 0.26); CD4 cell count (p = 0.75) or VACS Index score (p = 0.70). XR-NTX was associated with fewer heavy drinking days (p = 0.03). While XR-NTX decreases heavy drinking days, we did not detect improvements in ART adherence or HIV outcomes. Strategies to improve retention in alcohol treatment and HIV-related outcomes among heavy drinking HIV-positive patients are needed.

Duration of opioid prescriptions predicts incident nonmedical use of prescription opioids among U.S. veterans receiving medical care.

BACKGROUND/AIMS: Although nonmedical use of prescription opioids (NMUPO) is a public health problem, few studies have examined the new-onset NMUPO in clinical populations. We estimated NMUPO incidence among veterans in medical care who had received prescription opioid medication and examined correlates of new-onset NMUPO. DESIGN: Prospective cohort study. SETTING: Veterans Health Administration primary care and infectious disease clinics in Atlanta, Baltimore, Bronx, Houston, Los Angeles, Manhattan, Pittsburgh, and Washington, DC. PARTICIPANTS: Patients enrolled in the Veterans Aging Cohort Study wave 3 (2005-2007) who received prescription opioids in the previous year and without lifetime NMUPO were followed at waves 4 and 5 (2008-2011). MEASUREMENTS: Cox proportional hazards regression was used to examine the relationship between duration of prescription opioid receipt and incident NMUPO, adjusting for demographics, alcohol and tobacco use, substance use disorders, psychiatric and medical diagnoses, and medication-related characteristics. FINDINGS: Among eligible participants (n = 815), the median age was 52 (IQR = 47-58) and 498 (59.8%) were Black; 122 (15.0%) reported new-onset NMUPO, for an incidence rate of 5.0 per 100 person-years. In a multivariable Cox model, compared to <30 days, receipt of prescription opioids for 30-180 days (adjusted hazard ratio [AHR] = 1.65 95% CI: 1.06, 2.58) or >180 days (AHR = 1.99, 95% CI: 1.21, 3.29) was associated with incident NMUPO. CONCLUSIONS: Duration of prescription opioid receipt is a risk factor for incident NMUPO among veterans receiving medical care. Providers who prescribe opioids should monitor for NMUPO, especially among those with a longer duration of opioid therapy.

Complementary and Alternative Medicine Among Persons living with HIV in the Era of Combined Antiretroviral Treatment.

Complementary and alternative medicine (CAM), often pursued independent of prescribing clinicians, may interact with traditional treatments, yet CAM use has not been well characterized among people living with HIV (PLWH) in the combined antiretroviral therapy (ART) era. We analyzed data from the Veterans Aging Cohort Study (October 2012-April 2015) to characterize CAM use in PLWH on ART. CAM users were more likely to have lived longer with HIV, report more bothersome symptoms, be prescribed more benzodiazepines and opioids, and consume less nicotine and alcohol. Given its high prevalence, clinicians should routinely assess for CAM use and its impact among PLWH.