Is Abstinence from Alcohol and Smoking Associated with Less Anxiety and Depressive Symptoms Among People with HIV?

Achieving abstinence from alcohol, tobacco, or both may improve mental health, but is understudied in people with HIV (PWH). The St PETER HIV randomized clinical trial compared varenicline, cytisine, and nicotine replacement therapy on alcohol and smoking behavior among 400 PWH in Russia. The primary exposure was thirty-day point prevalence abstinence (PPA) from (1) alcohol, (2) smoking, (3) both, or (4) neither and was assessed at 1, 3, 6 and 12-months as were the study outcomes of anxiety (GAD-7) and depressive (CES-D) symptoms. The primary aim was to examine the association between smoking and/or alcohol abstinence and subsequent symptoms of depression and anxiety. Primary analysis used repeated measures generalized linear modeling to relate PPA with mental health scores across time. In secondary analyses, Kruskal-Wallis tests related PPA with mental health scores at each timepoint. Primary analyses did not identify significant differences in anxiety or depressive symptoms between exposure groups over time. Secondary analyses found CES-D scores across PPA categories were similar at 1-month (11, 10, 11, 11) and 6-months (10, 10, 11, 11) but differed at 3-months (9, 11, 10, 12; p = 0.035) and 12-months (10, 6, 11, 10; p = 0.019). GAD-7 scores did not vary across PPA categories at any time point. While abstinence was associated with fewer depressive symptoms at times, findings were not consistent during follow-up, perhaps reflecting intermittent relapse. PWH with polysubstance use and mental health comorbidity are complex, and larger samples with sustained abstinence would further elucidate effects of abstinence on mental health.

Healthcare Utilization Among Persons with HIV and Unhealthy Alcohol Use in St. Petersburg, Russia.

Few studies have examined the association between healthcare utilization and heavy alcohol use in Russia among persons with HIV (PWH), a group with high healthcare needs. This study analyzed the association between unhealthy alcohol use (defined as AUDIT score ≥ 8) and healthcare utilization among PWH with heavy alcohol use and daily smoking in St. Petersburg, Russia. This secondary analysis used data from a randomized controlled trial addressing alcohol use. The primary outcome was seeing an infectionist for HIV care in the past year. Outcomes were measured at baseline, 6 months, and 12 months. We assessed the association between unhealthy alcohol use and healthcare utilization outcomes with a repeated measures logistic regression model, controlling for relevant covariates. Nearly all (96.0%) participants had unhealthy alcohol use at baseline, and 90.0% had seen an infectionist for HIV care in the past year. In adjusted analyses, unhealthy alcohol use was associated with a 36% decrease in seeing an infectionist for HIV care (aOR = 0.64, 95% CI 0.43-0.95). Participants reported low levels of emergency department visits and hospitalizations. Understanding how to engage this population in alcohol use disorder treatment and HIV care is an important next step for improving health outcomes for this population.

Impact of alcohol use disorder severity on human immunodeficiency virus (HIV) viral suppression and CD4 count in three international cohorts of people with HIV.

BACKGROUND: Alcohol use has been linked to worse human immunodeficiency virus (HIV) immunologic/virologic outcomes, yet few studies have explored the effects of alcohol use disorder (AUD). This study assessed whether AUD severity is associated with HIV viral suppression and CD4 count in the three cohorts of the Uganda Russia Boston Alcohol Network for Alcohol Research Collaboration on HIV/AIDS (URBAN ARCH) Consortium. METHODS: People with HIV (PWH) in Uganda (n = 301), Russia (n = 400), and Boston (n = 251), selected in-part based on their alcohol use, were included in analyses. Logistic and linear regressions were used to assess the cross-sectional associations between AUD severity (number of DSM-5 diagnostic criteria) and (1) HIV viral suppression, and (2) CD4 count (cells/mm3 ) adjusting for covariates. Analyses were conducted separately by site. RESULTS: The proportion of females was 51% (Uganda), 34% (Russia), and 33% (Boston); mean age (SD) was 40.7 (9.6), 38.6 (6.3), and 52.1 (10.5), respectively. All participants in Uganda and all but 27% in Russia and 5% in Boston were on antiretroviral therapy. In Uganda, 32% met criteria for AUD, 92% in Russia, and 43% in Boston. The mean (SD) number of AUD criteria was 1.6 (2.4) in Uganda, 5.6 (3.3) in Russia, and 2.4 (3.1) in Boston. Most participants had HIV viral suppression (Uganda 92%, Russia 57%, Boston 87%); median (IQR) CD4 count was 673 (506, 866), 351 (201, 542), and 591 (387, 881), respectively. In adjusted models, there were no associations between AUD severity and HIV viral suppression: adjusted odds ratios (AOR) (95%CI) per 1 additional AUD criterion in Uganda was 1.08 (0.87, 1.33); Russia 0.98 (0.92, 1.04); and Boston 0.95 (0.84, 1.08) or CD4 count: mean difference (95%CI) per 1 additional criterion: 5.78 (-7.47, 19.03), -3.23 (-10.91, 4.44), and -8.18 (-24.72, 8.35), respectively. CONCLUSIONS: In three cohorts of PWH, AUD severity was not associated with HIV viral suppression or CD4 count. PWH with AUD in the current era of antiretroviral therapy can achieve virologic control.

Effectiveness of Varenicline and Cytisine for Alcohol Use Reduction Among People With HIV and Substance Use: A Randomized Clinical Trial.

Importance: Cigarette smoking and risky alcohol consumption co-occur and are undertreated. Nicotine receptor partial agonists and nicotine replacement therapy (NRT) treat smoking but are unproven for alcohol, and clinical trials rarely include individuals with HIV, substance use, and mental health conditions. Objective: To compare the effects on drinking and smoking of nicotinic acetylcholine receptor partial agonists varenicline and cytisine with those of NRT. Design, Setting, and Participants: This 4-group randomized, double-blinded, placebo-controlled clinical trial was conducted from July 2017 to December 2020 in St Petersburg, Russia. Included participants were 400 individuals with HIV who engaged in risky drinking (≥5 prior-month heavy-drinking days [HDDs]) and daily smoking; they were followed up for 12 months after enrollment. Data were analyzed from May 2021 through June 2022. Interventions: Participants received alcohol and tobacco counseling, 1 active medication, and 1 placebo in 1 of 4 groups: active varenicline and placebo NRT (group 1), placebo varenicline and active NRT (group 2), active cytisine and placebo NRT (group 3), or placebo cytisine and active NRT (group 4). Main Outcomes and Measures: The primary outcome was number of prior-month HDDs at 3 months. Secondary outcomes included biochemically validated abstinence from alcohol at 3 months and smoking at 6 months. Results: Among 400 participants (263 [65.8%] men; mean [SD] age, 39 [6] years), 97 individuals (24.3%) used opioids and 156 individuals (39.1%) had depressive symptoms. These individuals had a mean (SD) CD4 count of 391 (257) cells/mm3, smoked a mean (SD) of 21 [8] cigarettes/d, and reported a mean (SD) of 9.3 (5.8) HDDs in the prior 30 days. At 3 months, the mean (SD) number of HDDs was decreased vs baseline across all groups (group 1: 2.0 [3.8] HDDs vs. 9.5 [6.1] HDDs; group 2: 2.1 [4.3] HDDs vs 9.3 [5.7] HDDs; group 3: 1.5 [3.3] HDDs vs 8.9 [5.0] HDDs; group 4: 2.4 [5.2] HDDs vs 9.6 [6.3] HDDs). There were no significant differences at 3 months between groups in mean (SD) HDDs, including group 1 vs 2 (incident rate ratio [IRR], 0.94; 95% CI, 0.49-1.79), 3 vs 4 (IRR, 0.60; 95% CI, 0.30-1.18), and 1 vs 3 (IRR, 1.29; 95% CI, 0.65-2.55). There were no significant differences at 6 months between groups in smoking abstinence, including group 1 vs 2 (15 of 100 individuals [15.0%] vs 17 of 99 individuals [17.2%]; odds ratio [OR],0.89; 95% CI, 0.38-2.08), 3 vs 4 (19 of 100 individuals [19.0%] vs 19 of 101 individuals [18.8%]; OR, 1.00; 95% CI, 0.46-2.17), and 1 vs 3 (OR, 0.79; 95% CI, 0.35-1.78). Post hoc analyses suggested lower mean (SD) HDDs (eg, at 3 months: 0.7 [1.8] HDDs vs 2.3 [4.6] HDDs) and higher alcohol abstinence (eg, at 3 months: 30 of 85 individuals [35.3%] vs 54 of 315 individuals [17.1%]) among those who quit vs continued smoking. Conclusions and Relevance: This study found that among individuals with HIV who engaged in risky drinking and smoking, varenicline and cytisine were not more efficacious than NRT to treat risky drinking and smoking but that behavior change rates were high in all groups. Trial Registration: ClinicalTrials.gov Identifier: NCT02797587.

Cannabis and cocaine use, drinking outcomes, and quality of life in general hospital inpatients with alcohol use disorder.

Background: While associations between cannabis and cocaine use, and heavy drinking and quality of life (QOL), are well-established in the general population, it is unclear whether they are present in hospital inpatients with alcohol use disorder (AUD). The aim of the study was to assess associations between cannabis and cocaine use and two outcomes [heavy drinking days (HDDs) and QOL] among hospital inpatients with AUD. Methods: Hospitalized patients with AUD and at least one past-month HDD participated in this cross-sectional study. Cannabis and cocaine use were assessed using the Alcohol, Smoking, and Substance Involvement Screening Test. HDDs were assessed using the Timeline Followback. QOL was assessed by the WHOQOL-BREF instrument. Multivariable regression models assessed associations. Results: Of 248 participants, 225 (91%) had severe AUD. There were no statistically significant associations between: recent cannabis use and HDDs [Incidence Rate Ratio (IRR) = 0.95; 95% Confidence Interval (95% CI): 0.80, 1.14], cocaine use and HDDs [IRR = 0.88; 95% CI: 0.66, 1.18], or both cannabis and cocaine use and HDDs [IRR = 0.87; 95%CI: 0.70, 1.09], as compared to use of neither cannabis nor cocaine. Use of cannabis, cocaine, and both, were not associated with QOL [(odds ratio (OR) = 0.98; 95% CI:0.55, 1.74), (OR = 0.76; 95% CI:0.30, 1.93), (OR = 1.00; 95%CI: 0.49, 2.03), respectively]. Conclusions: Among hospital inpatients with AUD, there were no significant associations between cannabis and cocaine use, heavy drinking, or QOL. Our findings raise questions regarding how drug use affects AUD and whether similar results would be found among those with milder AUD and in prospective studies.

Impact of illicit opioid use on markers of monocyte activation and systemic inflammation in people living with HIV.

INTRODUCTION: We hypothesize that illicit opioid use increases bacterial translocation from the gut, which intensifies systemic inflammation. OBJECTIVE: To investigate the association between opioid use and plasma soluble CD14 [sCD14], interleukin-6 [IL-6] and D-dimer in people living with HIV (PLWH). METHODS: We analyzed data from the Russia ARCH study-an observational cohort of 351 ART-naive PLWH in St. Petersburg, Russia. Plasma levels of sCD14 (primary outcome), IL-6 and D-dimer (secondary outcomes) were evaluated at baseline, 12, and 24 months. Participants were categorized into three groups based on illicit opioid use: current, prior, and never opioid use. Linear mixed effects models were used to evaluate associations. RESULTS: Compared to never opioid use, sCD14 levels were significantly higher for participants with current opioid use (AMD = 197.8 ng/ml [11.4, 384.2], p = 0.04). IL-6 levels were also higher for participants with current vs. never opioid use (ARM = 2.10 [1.56, 2.83], p <0.001). D-dimer levels were higher for current (ARM = 1.95 [1.43, 2.64], p <0.001) and prior (ARM = 1.57 [1.17, 2.09], p = 0.004) compared to never opioid use. CONCLUSIONS: Among PLWH, current opioid use compared to never use is associated with increased monocyte activation and systemic inflammation.

Prevalence and Correlates of Positive Follow-up Screens in Primary Care for Unhealthy Alcohol and Other Drug Use After a Negative Screen.

OBJECTIVE: To determine the proportion and characteristics of adults in primary care (PC) who screen positive for unhealthy substance use (SU) (alcohol and/or other drug) 1 year or more after screening negative. METHODS: Screening consisted of single-item questions for unhealthy use of alcohol and other drugs (illicit drugs and prescription medications). Health educators conducted in-person screening of patients presenting for a PC appointment. SU severity (low, moderate, high) was assessed with the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST). Multivariate logistic regression models estimated predictors of a positive follow-up screen. RESULTS: Among 9215 patients who previously screened negative, 237 (2.6%) screened positive for unhealthy SU (42% alcohol only, 43% other drug only, 15% alcohol and other drug). The mean interval between screens was 19 months. Most alcohol use was low risk (ASSIST score ≤10) (81%), whereas most drug use was moderate risk (ASSIST score 4-26) (77%). Patients between ages of 18 to 25 had a higher proportion of positive follow-up screens (7.4% [33/ 443]) as well as those with a self-identified history of SU problems (9.4% [40/421]). Patients with a higher odds of a positive follow-up screen were male (adjusted odds ratio [AOR] 2.64; 95% CI: 2.02-3.45), used tobacco (AOR 2.38; 95% CI: 1.75-3.23), had a longer interval between screenings (AOR 3.26; 95% CI: 1.84-5.75). CONCLUSIONS: Screening for unhealthy SU 1 year or more after screening negative identified additional patients at-risk. These findings highlight the need to empirically determine the incremental benefits of screening all PC patients annually.

The Hepatitis C Continuum of Care Among HIV-Positive Persons with Heavy Alcohol Use in St. Petersburg, Russia.

This study describes the self-reported prevalence of hepatitis C virus (HCV) coinfection and the HCV care continuum among persons enrolled in the St PETER HIV Study, a randomized controlled trial of medications for smoking and alcohol cessation in HIV-positive heavy drinkers and smokers in St. Petersburg, Russia. Baseline health questionnaire data were used to calculate proportions and 95% confidence intervals for self-reported steps along the HCV continuum of care. The cohort included 399 HIV-positive persons, of whom 387 [97.0% (95% CI 95.3-98.7%)] reported a prior HCV test and 315 [78.9% (95% CI 74.9-82.9%)] reported a prior diagnosis of HCV. Among those reporting a diagnosis of HCV, 43 [13.7% (95% CI 9.9-17.4%)] had received treatment for HCV, and 31 [9.8% (95% CI 6.6-13.1%)] had been cured. Despite frequent HCV testing in this HIV-positive Russian cohort, the proportion reporting prior effective HCV treatment was strikingly low. Increased efforts are needed to scale-up HCV treatment among HIV-positive Russians in St. Petersburg.

Improving the Delivery of Chronic Opioid Therapy Among People Living With Human Immunodeficiency Virus: A Cluster Randomized Clinical Trial.

BACKGROUND: Chronic pain is prevalent among people living with human immunodeficiency virus (PLWH); managing pain with chronic opioid therapy (COT) is common. Human immunodeficiency virus (HIV) providers often diverge from prescribing guidelines. METHODS: This 2-arm, unblinded, cluster-randomized clinical trial assessed whether the Targeting Effective Analgesia in Clinics for HIV (TEACH) intervention improves guideline-concordant care compared to usual care for PLWH on COT. The trial was implemented from 2015 to 2018 with 12-month follow-up at safety-net hospital-based HIV clinics in Boston and Atlanta. We enrolled 41 providers and their 187 patients on COT. Prescribers were randomized 1:1 to either a 12-month intervention consisting of a nurse care manager with an interactive electronic registry, opioid education, academic detailing, and access to addiction specialists or a control condition consisting of usual care. Two primary outcomes were assessed through electronic medical records: ≥2 urine drug tests and any early COT refills by 12 months. Other outcomes included possible adverse consequences. RESULTS: At 12 months, the TEACH intervention arm had higher odds of ≥2 urine drug tests than the usual care arm (71% vs 20%; adjusted odds ratio [AOR], 13.38 [95% confidence interval {CI}, 5.85-30.60]; P < .0001). We did not detect a statistically significant difference in early refills (22% vs 30%; AOR, 0.55 [95% CI, .26-1.15]; P = .11), pain severity (6.30 vs 5.76; adjusted mean difference, 0.10 [95% CI, -1.56 to 1.75]; P = .91), or HIV viral load suppression (86.9% vs 82.1%; AOR, 1.21 [95% CI, .47-3.09]; P = .69). CONCLUSIONS: TEACH is a promising intervention to improve adherence to COT guidelines without evident adverse consequences.

Association of Treatment With Medications for Opioid Use Disorder With Mortality After Hospitalization for Injection Drug Use-Associated Infective Endocarditis.

Importance: Although hospitalizations for injection drug use-associated infective endocarditis (IDU-IE) have increased during the opioid crisis, utilization of and mortality associated with receipt of medication for opioid use disorder (MOUD) after discharge from the hospital among patients with IDU-IE are unknown. Objective: To assess the proportion of patients receiving MOUD after hospitalization for IDU-IE and the association of MOUD receipt with mortality. Design, Setting, and Participants: This retrospective cohort study used a population registry with person-level medical claims, prescription monitoring program, mortality, and substance use treatment data from Massachusetts between January 1, 2011, and December 31, 2015; IDU-IE-related discharges between July 1, 2011, and June, 30, 2015, were analyzed. All Massachusetts residents aged 18 to 64 years with a first hospitalization for IDU-IE were included; IDU-IE was defined as any hospitalization with a diagnosis of endocarditis and at least 1 claim in the prior 6 months for OUD, drug use, or hepatitis C and with 2-month survival after hospital discharge. Data were analyzed from November 11, 2018, to June 23, 2020. Exposure: Receipt of MOUD, defined as any treatment with methadone, buprenorphine, or naltrexone, within 3 months after hospital discharge excluding discharge month for IDU-IE. Main Outcomes and Measures: The main outcome was all-cause mortality. The proportion of patients who received MOUD in the 3 months after hospital discharge was calculated. Multivariable Cox proportional hazard regression models were used to examine the association of MOUD receipt with mortality, adjusting for sex, age, medical and psychiatric comorbidities, and homelessness. In the secondary analysis, receipt of MOUD was considered as a monthly time-varying exposure. Results: Of 679 individuals with IDU-IE, 413 (60.8%) were male, the mean (SD) age was 39.2 (12.1) years, 298 (43.9%) were aged 18 to 34 years, 419 (72.3) had mental illness, and 209 (30.8) experienced homelessness. A total of 134 individuals (19.7%) received MOUD in the 3 months before hospitalization and 165 (24.3%) in the 3 months after hospital discharge. Of those who received MOUD after discharge, 112 (67.9%) received buprenorphine. The crude mortality rate was 9.2 deaths per 100 person-years. MOUD receipt within 3 months after discharge was not associated with reduced mortality (adjusted hazard ratio, 1.29; 95% CI, 0.61-2.72); however, MOUD receipt was associated with reduced mortality in the month that MOUD was received (adjusted hazard ratio, 0.30; 95% CI, 0.10-0.89). Conclusions and Relevance: In this cohort study, receipt of MOUD was associated with reduced mortality after hospitalization for injection drug use-associated endocarditis only in the month it was received. Efforts to improve MOUD initiation and retention after IDU-IE hospitalization may be beneficial.

Rapid Versus Laboratory-Based Testing for HIV and Hepatitis C at a Drug Detoxification Treatment Center: A Randomized Trial.

BACKGROUND: A health department survey revealed nearly half employ laboratory-based HIV and HCV testing (LBT) over rapid testing (RT) in nonhospital settings such as drug detoxification centers. LBT has higher sensitivity for acute HIV infection compared to RT but LBT is not point of care and may result in fewer diagnoses due to loss to follow-up before result delivery. METHODS: We conducted a randomized trial comparing real-world case notification of RT (Orasure) vs LBT (HIV Combo Ag/Ab EIA, HCV EIA) for HIV and HCV at a drug detoxification center. Primary outcome was receipt of test results within 2 weeks. RESULTS: Among 341 individuals screened (11/2016-7/2017), 200 met inclusion criteria; 58% injected drugs and 31% shared needles in the previous 6 months. Of the 200 randomized, 98 received RT and 102 LBT. Among all participants, 0.5% were positive for HIV and 48% for HCV; 96% received test results in the RT arm and 42% in the LBT arm (odds ratio, 28.72; 95% confidence interval, 10.27-80.31). Real-world case notification was 95% and 93% for HIV and HCV RT, respectively, compared to 42% for HIV and HCV LBT. CONCLUSIONS: RT has higher real-world case notification than LBT at drug detoxification centers.Clinical trials registration: NCT02869776.

Screening and brief intervention for lower-risk drug use in primary care: A pilot randomized trial.

AIMS: The efficacy of screening and brief intervention for lower-risk drug use is unknown. This pilot study tested the efficacy of two brief interventions (BIs) for drug use compared to no BI in primary care patients with lower-risk drug use identified by screening. METHODS: We randomly assigned participants identified by screening with Alcohol Smoking and Substance Involvement Screening Test (ASSIST) drug specific scores of 2 or 3 to: no BI, a brief negotiated interview (BNI), or an adaptation of motivational interviewing (MOTIV). Primary outcome was number of days use of main drug in the past 30 as determined by validated calendar method at 6 months. Analyses were performed using negative binomial regression adjusted for baseline use and main drug. RESULTS: Of 142 eligible adults, 61(43 %) consented and were randomized. Participant characteristics were: mean age 41; 54 % male; 77 % black. Main drug was cannabis 70 %, cocaine 15 %, prescription opioid 10 %; 7% reported injection drug use and mean days use of main drug (of 30) was 3.4. At 6 months, 93 % completed follow-up and adjusted mean days use of main drug were 6.4 (no BI) vs 2.1 (BNI) (incidence rate ratio, IRR 0.33[0.15-0.74]) and 2.3 (MOTIV) (IRR 0.36[0.15-0.85]). CONCLUSIONS: BI appears to have efficacy for preventing an increase in drug use in primary care patients with lower-risk use identified by screening. These findings raise the potential that less severe patterns of drug use in primary care may be uniquely amenable to brief intervention and warrant replication.

Tutorial in Biostatistics: The use of generalized additive models to evaluate alcohol consumption as an exposure variable.

Alcohol consumption is a commonly studied risk factor for many poor health outcomes. Various instruments exist to measure alcohol consumption, including the AUDIT-C, Single Alcohol Screening Questionnaire (SASQ) and Timeline Followback. The information gathered by these instruments is often simplified and analyzed as a dichotomous measure, risking the loss of information of potentially prognostic value. We discuss generalized additive models (GAM) as a useful tool to understand the association between alcohol consumption and a health outcome. We demonstrate how this analytic strategy can guide the development of a regression model that retains maximal information about alcohol consumption. We illustrate these approaches using data from the Russia ARCH (Alcohol Research Collaboration on HIV/AIDS) study to analyze the association between alcohol consumption and biomarker of systemic inflammation, interleukin-6 (IL-6). We provide SAS and R code to implement these methods. GAMs have the potential to increase statistical power and allow for better elucidation of more nuanced and non-linear associations between alcohol consumption and important health outcomes.

Design of a randomized controlled trial of smoking cessation medications for alcohol reduction among HIV-positive heavy drinkers and daily smokers in St. Petersburg, Russia.

BACKGROUND: HIV, heavy drinking, and smoking are all pro-inflammatory and increase risk for coronary heart disease (CHD). Interventions that reduce alcohol use, smoking, or both in HIV-positive people could lower inflammation, CHD and death risk. Varenicline and cytisine are proven therapies for smoking cessation and may also reduce alcohol consumption. The comparative efficacy of varenicline and cytisine to reduce alcohol consumption has not been tested, nor has their comparative effectiveness been reported for smoking. OBJECTIVE: This paper describes the protocol of the Studying Partial agonists for Ethanol and Tobacco Elimination in Russians with HIV (St PETER HIV), a four-arm parallel-group randomized controlled trial comparing effects of varenicline, cytisine, and nicotine replacement therapy (NRT). METHODS: The study is recruiting four hundred HIV-positive heavy drinking smokers interested in cutting down on alcohol and/or tobacco in St. Petersburg, Russia. Participants are randomly assigned to receive either active varenicline + NRT placebo, varenicline placebo + active NRT, active cytisine + NRT placebo, cytisine placebo + active NRT. All participants receive evidence-based counseling for alcohol and tobacco use, one active medication, and one placebo. Outcomes are: 1) % heavy drinking days in the past month (primary study outcome at three months) and alcohol craving; 2) cigarettes per day (primary smoking outcome at 3 months) and 7-day point prevalence abstinence and; 3) inflammation, CHD risk, and mortality risk. CONCLUSION: St PETER HIV addresses the paucity of randomized controlled trial data to guide treatment of alcohol consumption and smoking in HIV-positive heavy drinking smokers.

Prevalence and treatment of opioid use disorders among primary care patients in six health systems.

BACKGROUND: The U.S. experienced nearly 48,000 opioid overdose deaths in 2017. Treatment of opioid use disorder (OUD) with buprenorphine is a recommended part of primary care, yet little is known about current U.S. practices in this setting. This observational study reports the prevalence of documented OUD and OUD treatment with buprenorphine among primary care patients in six large health systems. METHODS: Adults with ≥2 primary care visits during a three-year period (10/1/2013-9/30/2016) in six health systems were included. Data were obtained from electronic health record and claims data, with measures, assessed over the three-year period, including indicators for documented OUD from ICD 9 and 10 codes and OUD treatment with buprenorphine. The prevalence of OUD treatment was adjusted for age, gender, race/ethnicity, and health system. RESULTS: Among 1,368,604 primary care patients, 13,942 (1.0 %) had documented OUD, and among these, 21.0 % had OUD treatment with buprenorphine. For those with documented OUD, the adjusted prevalence of OUD treatment with buprenorphine varied across demographic and clinical subgroups. OUD treatment was lower among patients who were older, women, Black/African American and Hispanic (compared to white), non-commercially insured, and those with non-cancer pain, mental health disorders, greater comorbidity, and more opioid prescriptions, emergency department visits or hospitalizations. CONCLUSIONS: Among primary care patients in six health systems, one in five with an OUD were treated with buprenorphine, with disparities across demographic and clinical characteristics. Less buprenorphine treatment among those with greater acute care utilization highlights an opportunity for systems-level changes to increase OUD treatment.

Association between alcohol use and inflammatory biomarkers over time among younger adults with HIV-The Russia ARCH Observational Study.

BACKGROUND: Biomarkers of monocyte activation (soluble CD14 [sCD14]), inflammation (interleukin-6 [IL-6]), and altered coagulation (D-dimer) are associated with increased mortality risk in people with HIV. The objective of the Russia Alcohol Research Collaboration on HIV/AIDS (ARCH) study was to evaluate the association between heavy alcohol use and inflammatory biomarkers over time. METHODS: The study sought antiretroviral therapy naive participants with HIV (n = 350) and assessed them at baseline, 12 and 24 months. Linear mixed effects models were used to determine whether heavy drinking (self-report augmented by phosphatidylethanol [PEth], an alcohol biomarker) was longitudinally associated with IL-6, sCD14 and D-dimer adjusting for potential confounders (e.g., demographics, HIV factors, comorbid conditions). RESULTS: Participants' baseline characteristics were as follows: 71% male; mean age of 34 years; 87% self-reported hepatitis C; and 86% current smokers. Mean log10 (HIV RNA) was 4.3 copies/mL. Heavy alcohol use, based on National Institute of Alcohol Abuse and Alcoholism risky drinking criteria and PEth (versus non-heavy alcohol use) was associated with higher sCD14 (adjusted mean difference 125 ng/mL [95% CI: 42, 209]), IL-6 (ratio of means 1.35 [95% CI: 1.17, 1.55] pg/mL), and D-dimer (ratio of means 1.20 [95% CI: 1.06, 1.37] ug/mL) across the two-year follow-up. CONCLUSION: Among HIV+ adults, current heavy alcohol use is associated with higher sCD14, IL-6 and D-dimer over time. Since these biomarkers are associated with mortality, interventions to mitigate effects of heavy drinking on these immune processes merit consideration.

Depression and smoking characteristics among HIV-positive smokers in Russia: A cross-sectional study.

INTRODUCTION: Globally, persons with HIV infection, depression and substance use disorders have a higher smoking prevalence and smoke more heavily than other populations. These associations have not been explored among Russian smokers with HIV infection and substance use disorders. The purpose of this study was to examine the relationship between the presence of depressive symptoms and smoking outcomes in an HIV-positive cohort of Russian smokers with a history of substance use disorders (alcohol and/or drug use disorders). METHODS: We performed a cross-sectional secondary data analysis of a cohort of HIV-positive regular smokers with a history of substance use disorders recruited in St. Petersburg, Russia in 2012-2015. The primary outcome was heavy smoking, defined as smoking > 20 cigarettes per day. Nicotine dependence (moderate-very high) was a secondary outcome. The main independent variable was a high level of depressive symptoms in the past 7 days (defined as CES-D > = 24). We used multivariable logistic regression to examine associations between depressive symptoms and the outcomes, controlling for age, sex, education, income, running out of money for housing/food, injection drug use, and alcohol use measured by the AUDIT. RESULTS: Among 309 regular smokers, 79 participants (25.6%) had high levels of depressive symptoms, and 65 participants (21.0%) were heavy smokers. High levels of depressive symptoms were not significantly associated with heavy smoking (adjusted odds ratio [aOR] 1.50, 95% CI 0.78-2.89) or with moderate-very high levels of nicotine dependence (aOR 1.35, 95% CI 0.75-2.41). CONCLUSIONS: This study did not detect an association between depressive symptoms and smoking outcomes among HIV-positive regular smokers in Russia.

Anxiety, Depression, and Pain Symptoms: Associations With the Course of Marijuana Use and Drug Use Consequences Among Urban Primary Care Patients.

OBJECTIVES: This exploratory study aims to investigate whether anxiety, depression, and pain are associated with changes in marijuana use and drug use consequences among primary care patients. METHODS: In all, 331 adult primary care patients with marijuana as the only drug used were followed prospectively to investigate associations between anxiety/depression symptoms (no/minimal symptoms; anxiety or depression symptoms; symptoms of both) and pain (1-10 scale: none [0]; low [1-3]; medium [4-6]; high [7-10]) (independent variables) and substance use outcomes in regression models. These outcomes were changes (over 6 months) in primary outcomes: marijuana use days (past 30); and drug use consequences (Short Inventory of Problems-Drugs [SIP-D]); secondary outcomes-drug use risk (Alcohol, Smoking, and Substance Involvement Screening Test [ASSIST] score for drugs). RESULTS: At baseline, 67% reported no/minimal anxiety/depression symptoms, 16% anxiety or depression symptoms, 17% both; 14% reported no pain, 16% low, 23% medium, 47% high pain level. Mean (SD) number of marijuana use days was 16.4 (11.6), mean SIP-D 5.9 (9.0), mean ASSIST 12.5 (7.8); no significant association was found between anxiety/depression and marijuana use changes. Given the same baseline status for SIP-D and ASSIST, respectively, those with anxiety or depression had greater increases in SIP-D (adjusted mean difference [95% confidence interval] +3.26 [1.20; 5.32], P = 0.004) and borderline significant increases in ASSIST (+3.27 [-0.12; 6.65], P = 0.06) compared with those without anxiety or depression; those with both anxiety and depression had greater increases in ASSIST (+5.42 [2.05; 8.79], P = 0.003), but not SIP-D (+1.80 [-0.46; 4.06], P = 0.12). There was no significant association between pain and marijuana use and SIP-D changes. Given the same baseline ASSIST level, those with high pain level had greater increases in ASSIST (+4.89 [1.05; 8.72], P = 0.04) compared with those with no pain. CONCLUSION: In these exploratory analyses, anxiety, depression, and high pain level appear to be associated with increases in drug-related harm among primary care patients using marijuana.

Lifetime marijuana and alcohol use, and cognitive dysfunction in people with human immunodeficiency virus infection.

BACKGROUND: Substance use is common among people with human immunodeficiency virus (HIV) infection. Alcohol, marijuana, and HIV can have negative effects on cognition. Associations between current and lifetime marijuana and alcohol use and cognitive dysfunction in people with HIV infection were examined. METHODS: Some 215 HIV-infected adults with Diagnostic and Statistical Manual of Mental Disorders Fourth Edition (DSM-IV) substance dependence or ever injection drug use were studied. In adjusted cross-sectional regression analyses associations were assessed between current marijuana use, current heavy alcohol use, lifetime marijuana use, lifetime alcohol use, duration of heavy alcohol use (the independent variables), and 3 measures of cognitive dysfunction (dependent variables): both the (i) memory and (ii) attention domains from the Montreal Cognitive Assessment (MoCA) and the (iii) 4-item cognitive function scale (CF4) from the Medical Outcomes Study HIV Health Survey (MOS-HIV). Analyses were adjusted for demographics, primary language, depressive symptoms, anxiety, comorbidities, antiretroviral therapy, hepatitis C virus (ever), duration of HIV infection (years), HIV-viral load (log copies/mL), CD4 cell count, lifetime and recent cocaine use, and recent illicit and prescribed opioid use. RESULTS: Current marijuana use was significantly and negatively associated with the MOS-HIV CF4 score (adjusted mean difference = -0.40, P = .01). Current marijuana use was not significantly associated with either MoCA score. Lifetime marijuana use and current heavy and lifetime alcohol use and duration of heavy alcohol use were not associated with any measure of cognitive dysfunction. CONCLUSION: Current marijuana use was associated with one measure of cognitive dysfunction, but there was not a consistent pattern of association with lifetime marijuana use or alcohol use and measures of cognitive dysfunction. Understanding the mechanism by which marijuana, with and without alcohol, are associated with worse cognition warrants larger, longer studies with more precise and diverse measurements of cognitive function.

HIV-infected individuals who use alcohol and other drugs, and virologic suppression.

People living with HIV (PLWH) on antiretroviral therapy (ART) who use substances were examined to (a) describe those with virologic control and (b) determine which substance use-factors are associated with lack of virologic control. Participants were adult PLWH taking ART with either past 12-month DSM-IV substance dependence or past 30-day alcohol or illicit drug use. Substance use factors included number of DSM-IV alcohol or drug dependence criteria and past 30-day specific substance use. Associations with HIV viral load (HVL) (<200 vs. ≥200 copies/mL) were tested using logistic regression models. Multivariable analyses adjusted for age, sex, homelessness and anxiety or depression. Participants (n = 202) were median age 50 years, 66% male, 51% African American and 75% self-reported ≥90% past 30-day ART adherence. Though HVL suppression (HVL <200 copies/mL) was achieved in 78% (158/202), past 30-day substance use was common among this group: 77% cigarette use; 51% heavy alcohol use; 50% marijuana; 27% cocaine; 16% heroin; and 15% illicit prescription opioid use. After adjusting for covariates, specific substance use was not associated with a detectable HVL, however number of past 12-month DSM-IV drug dependence criteria was (adjusted odds ratio = 1.23 for each additional criterion, 95% CI: 1.04-1.46). Three-quarters of a substance-using cohort of PLWH receiving ART had virologic control and ≥90% ART adherence. Substance dependence criteria (particularly drug dependence), not specifically substance use, were associated with lack of virologic control. Optimal HIV outcomes can be achieved by individuals who use alcohol or drugs and addressing symptoms of substance dependence may improve HIV-related outcomes.