Predictors of initiation of and retention on medications for alcohol use disorder among people living with and without HIV

Pain, Substance Use Disorders, Mental Health, and Buprenorphine Treatment among Patients With and Without HIV

Treatment of opioid use disorder (OUD) with buprenorphine improves outcomes and mortality among people with HIV (PWH). However, engagement is low and is influenced by comorbidities. We examined the impact of patterns of co-occurring pain, substance use disorders (SUDs), and mental health diagnoses on buprenorphine initiation and retention in PWH. The Veterans Aging Cohort Study contained 7,875 patients (2,702 PWH and 5,173 without HIV) with new OUD clinical encounters (2008-2017). Buprenorphine initiation and retention were derived from prescription data. We identified patterns of co-occurring diagnoses (via ICD codes) and assessed the effects of class membership on both outcomes using latent class analysis and regression analyses. The mean age of patients was 55, 98% were male, 58% Black, 8% Hispanic, and only 8% initiated buprenorphine within 12 months of OUD diagnosis. Four classes of co-occurring diagnoses were identified: "Few Co-occurring Diagnoses" (42.3%); "Multiple Pain Conditions" (21.3%); "Pain + SUD" (18.4%) and "Pain + SUD + Mental Health" (18.0%). Patients in the "Pain + SUD" class and "Pain + SUD + Mental Health" class were significantly less likely to initiate buprenorphine and had 59% and 45% lower odds, respectively, of initiating buprenorphine compared with patients in the "Few Co-occurring Diagnoses" class; this effect did not vary by HIV status. Buprenorphine retention was not significantly associated with HIV status or class membership. However, Black Veterans were less likely to initiate or be retained in buprenorphine treatment. Higher comorbidity burden was negatively associated with buprenorphine initiation but not with retention. More research is warranted to determine other factors that may influence treatment retention.

Correlates of post-hospitalization naltrexone adherence for alcohol use disorder

INTRODUCTION

Hospitalizations present an opportunity to initiate naltrexone for patients with alcohol use disorder (AUD). Understanding factors associated with post-hospitalization adherence could inform practice.

METHODS

This study is a secondary analysis of a clinical trial in which patients with AUD were randomized to oral (PO) versus long-acting injectable (LAI) naltrexone at hospital discharge. The outcome of this secondary analysis was naltrexone adherence 3 months after discharge, defined as receipt of at least 2 out of 3 monthly injections or the equivalent days of self-reported PO medication use (60 out of 90). We used baseline socio-demographics, substance use history, health status, healthcare utilization, and randomization arm to construct multivariable logistic regression models to identify correlates of adherence.

RESULTS

We evaluated patients who initiated naltrexone treatment, 124 randomized to PO and 120 to LAI (overall mean age 49 years, 80 % male, 51 % Black, 47 % unhoused, and 91 % with severe AUD). At 3 months, 50 % of patients were adherent. LAI naltrexone (aOR 3.88; 95 % CI 2.17-7.13), recent office visit (aOR 2.01; 95 % CI 1.10-3.72), and age (aOR per 10-year increase 1.37; 95 % CI 1.02-1.88) were associated with increased odds of adherence. Unhoused status (aOR 0.54; 95 % CI 0.30-0.98) and cocaine use (aOR 0.35; 95 % CI 0.17-0.71) were associated with decreased odds of adherence.

CONCLUSIONS

LAI naltrexone for AUD at hospital discharge was associated with better adherence at 3 months vs PO. Access to LAI naltrexone and targeted interventions for patients with cocaine use or who are unhoused hold potential to improve naltrexone adherence.

Disparities in Treatment for Alcohol Use Disorder Among All of Us Participants

OBJECTIVE

The authors examined racial/ethnic and socioeconomic disparities in receiving treatment for alcohol use disorder (AUD).

METHODS

A retrospective cohort study was conducted that included adults (≥18 years) with AUD from the All of Us Controlled Tier database v7. Outcomes were lifetime receipt of FDA-approved medications (disulfiram, acamprosate, and naltrexone), psychotherapy (individual, family, and group-based session), and combination treatment (medication and psychotherapy). The study examined treatment receipt by race/ethnicity (non-Hispanic White, non-Hispanic Black, Hispanic, other), insurance (private, Medicare, Medicare and Medicaid, Medicaid, Veteran Affairs [VA], none), income (<$10K, $10-<$50K, $50-$100K, >$100K), and area deprivation index (ADI) quintiles. Multivariable logistic and multinomial logistic regressions were used to assess the association between patient characteristics and treatment receipt.

RESULTS

The cohort consisted of 18,692 patients (mean age=57.1 years; 60.7% were male; 47.1% were non-Hispanic White). Almost 70% received no treatment, 11.4% received medication, 24.0% received psychotherapy, and 4.9% received combination treatment. In adjusted analysis, non-Hispanic Black (aOR=0.78, 95% CI=0.69-0.89) and Hispanic (aOR=0.75, 95% CI=0.64-0.88) individuals were less likely to receive medication than non-Hispanic White counterparts. There was no association between race/ethnicity and receipt of psychotherapy or combination treatment. Compared with private insurance, dual eligibility was associated with less use of medication, Medicare and Medicaid with less use of medication and combination treatment, and VA and no insurance with more use of psychotherapy and combination treatment. Higher income and lower ADI were positively associated with all treatment types.

CONCLUSIONS

There are disparities in AUD treatment by race/ethnicity, socioeconomic status, and insurance. Systematic approaches are required to improve equitable access to effective treatment.

Medications for Alcohol Use Disorder: Rates and Predictors of Prescription Order and Fill in Outpatient Settings

BACKGROUND

Alcohol use disorders (AUD) are prevalent and responsible for substantial morbidity and mortality; yet efficacious treatments are underused. Previous studies have identified demographic and clinical predictors of medication fills, yet these studies typically do not include patients who were prescribed a medication but did not fill it.

OBJECTIVES

To examine rates of and factors associated with prescription order and prescription fill for medications for AUD (MAUD) among individuals diagnosed with AUD in outpatient settings.

DESIGN

In a cross-sectional analysis, we used multivariate logistic regression to identify factors associated with prescription order and fill.

PATIENTS

We used data from the Optum Labs Data Warehouse that linked 2016-2021 de-identified claims and electronic health record (EHR) data, allowing us to observe prescription orders and whether they were filled. We identified 14,674 patients aged ≥ 18 who had an index outpatient encounter with an AUD diagnosis in the EHR.

KEY MEASURES

We computed the proportion for whom a MAUD prescription was ordered within 1 year of index visit, and for whom one was filled within 30 days of the order.

KEY RESULTS

5.8% of the sample had a MAUD prescription order within 1 year of their index visit. Among those with an order, 87% filled their MAUD prescription within 30 days of receipt (i.e., 5.1% of full sample). After multivariable adjustment, receipt of a MAUD prescription order was more likely for patients who were female (adjusted odds ratio (aOR) [95%CI] = 1.44 [1.24-1.67]), or had moderate or severe AUD (1.74 [1.50-2.01]). Patients receiving an order were more likely to fill it if they had a comorbid mental disorder (1.64 [1.09-2.49]).

CONCLUSIONS

The low rate of prescription orders was notable. Low use of MAUD appears to result chiefly from prescription order decisions, rather than from prescription fill decisions made by patients.

Pharmacotherapy for alcohol use disorder among adults with medical disorders in Sweden

BACKGROUND

Alcohol-attributable medical disorders are prevalent among individuals with alcohol use disorder (AUD). However, there is a lack of research on prescriptions of pharmacological treatment for AUD in those with comorbid conditions. This study aims to investigate the utilization of pharmacological treatment (acamprosate, disulfiram and naltrexone) in specialist care among patients with AUD and comorbid medical diagnoses.

METHODS

This was a descriptive register-based Swedish national cohort study including 132,728 adults diagnosed with AUD (N = 270,933) between 2007 and 2015. The exposure was alcohol-attributable categories of comorbid medical diagnoses. Odds ratios (OR) were calculated using mixed-effect logistic regression analyses for any filled prescription of acamprosate, disulfiram or oral naltrexone within 12 months post AUD diagnosis.

RESULTS

Individuals with comorbid alcohol-attributable medical diagnoses had lower odds of filling prescriptions for any type of AUD pharmacotherapy compared to those without such comorbidities. Cardiovascular (OR = 0.41 [95% CI: 0.39-0.43]), neurological (OR = 0.52 [95% CI: 0.48-0.56]) and gastrointestinal (OR = 0.57 [95% CI: 0.54-0.60]) diseases were associated with the lowest rates of prescription receipt. The presence of diagnoses which are contraindications to AUD pharmacotherapy did not fully explain the low prescription rate.

CONCLUSION

There is a substantial underutilization of AUD pharmacotherapy in patients with AUD and comorbid medical disorders in specialist care. Increasing the provision of pharmacotherapy to this group of patients is essential and may prevent morbidity and mortality. There is a need to further understand barriers to medical treatment both from the patient and prescriber perspective.

Availability of substance use screening and treatment within HIV clinical sites across seven geographic regions within the IeDEA consortium

BACKGROUND

Overwhelming evidence highlights the negative impact of substance use on HIV care and treatment outcomes. Yet, the extent to which alcohol use disorder (AUD) and other substance use disorders (SUD) services have been integrated within HIV clinical settings is limited. We describe AUD/SUD screening and treatment availability in HIV clinical sites participating in the International epidemiology Databases to Evaluate AIDS (IeDEA) consortium.

METHODS

In 2020, 223 IeDEA HIV clinical sites from 41 countries across seven geographic regions completed a survey on capacity and practices related to management of AUD/ SUD. Sites provided information on AUD and other SUD screening and treatment practices.

RESULTS

Sites were from low-income countries (23%), lower-middle-income countries (38%), upper-middle income countries (17%) and high-income counties (23%). AUD and SUD screening using validated instruments were reported at 32% (n=71 located in 12 countries) and 12% (n=27 located in 6 countries) of the 223 sites from 41 countries, respectively. The North American region had the highest proportion of clinics that reported AUD screening (76%), followed by East Africa (46%); none of the sites in West or Central Africa reported AUD screening. 31% (n=69) reported both AUD screening and counseling, brief intervention, psychotherapy, or Screening, Brief Intervention, and Referral to Treatment; 8% (n=18) reported AUD screening and detox hospitalization; and 10% (n=24) reported both AUD screening and medication. While the proportion of clinics providing treatment for SUD was lower than those treating AUD, the prevalence estimates of treatment availability were similar.

CONCLUSIONS

Availability of screening and treatment for AUD/SUD in HIV care settings is limited, leaving a substantial gap for integration into ongoing HIV care. A critical understanding is needed of the multilevel implementation factors or feasible implementation strategies for integrating screening and treatment of AUD/SUD into HIV care settings, particularly for resource-constrained regions.

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.

Contingency management with stepped care for unhealthy alcohol use among individuals with HIV: Protocol for a randomized controlled trial

BACKGROUND

Although unhealthy alcohol use is associated with increased morbidity and mortality among people with HIV (PWH), many are ambivalent about engaging in treatment and experience variable responses to treatment. We describe the rationale, aims, and study design for the Financial Incentives, Randomization, with Stepped Treatment (FIRST) Trial, a multi-site randomized controlled efficacy trial.

METHODS

PWH in care recruited from clinics across the United States who reported unhealthy alcohol use, had a phosphatidylethanol (PEth) >20 ng/mL, and were not engaged in formal alcohol treatment were randomized to integrated contingency management with stepped care versus treatment as usual. The intervention involved two steps; Step 1: Contingency management (n = 5 sessions) with potential rewards based on 1) short-term abstinence; 2) longer-term abstinence; and 3) completion of healthy activities to promote progress in addressing alcohol consumption or conditions potentially impacted by alcohol; Step 2: Addiction physician management (n = 6 sessions) plus motivational enhancement therapy (n = 4 sessions). Participants' treatment was stepped up at week 12 if they lacked evidence of longer-term abstinence. Primary outcome was abstinence at week 24. Secondary outcomes included alcohol consumption (assessed by TLFB and PEth) and the Veterans Aging Cohort Study (VACS) Index 2.0 scores; exploratory outcomes included progress in addressing medical conditions potentially impacted by alcohol. Protocol adaptations due to the COVID-19 pandemic are described.

CONCLUSIONS

The FIRST Trial is anticipated to yield insights on the feasibility and preliminary efficacy of integrated contingency management with stepped care to address unhealthy alcohol use among PWH.

CLINICALTRIALS

gov identifier: NCT03089320.

Age group differences in substance use, social support, and physical and mental health concerns among people living with HIV two years after receiving primary care-based alcohol treatment

Objectives: People living with HIV (PWH) have seen reduction in HIV-associated morbidity and increase in near-normal life expectancy, yet unhealthy alcohol use poses substantial risks to older as well as younger adults. Further research regarding age-associated physical and mental health concerns among PWH who drink alcohol is needed to inform services, given the expanding age range of patients in care.Methods: We compared age group differences (18-34, 35-44, 45-54, ≥55 years old) in two-year patient-reported outcomes and HIV viral control among PWH enrolled in a primary care-based behavioral alcohol intervention trial; with 90% follow up from baseline.Results: Of 553 PWH, 50 (9%) were 18-34, 85 (15%) were 35-44, 197 (36%) were 45-54, and 221 (40%) were ≥55 years old. Most were men (97%) and White (64%). At two years, PWH ≥55 reported less substance use in the prior 30 days, fewer social contacts, and more pain; younger PWH had lower antiretroviral therapy (ART) adherence. In adjusted analyses, PWH ages 18-34 had higher odds of unhealthy alcohol use, tobacco, cannabis, or other substances compared to those ≥55; with higher odds of anxiety among PWH 35-44 compared with those ≥55; and physical quality of life was worse among those ≥55 compared with younger groups.Conclusions: While older PWH report less substance use than younger PWH and have better ART adherence post-treatment, they are more likely to experience limited social support and worse physical quality of life. Findings can inform interventions to address varying needs of PWH across the lifespan.

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.

Medication prescribing for alcohol use disorders during alcohol-related encounters in a Colorado regional healthcare system

RATIONALE

Investigations show that medications for alcohol use disorders (MAUD) reduce heavy drinking and relapses. However, only 1.6% of individuals with alcohol use disorders (AUD) receive MAUD across care settings. The epidemiology of MAUD prescribing in the acute care setting is incompletely described. We hypothesized that MAUD would be under prescribed in inpatient acute care hospital settings compared to the outpatient, emergency department (ED), and inpatient substance use treatment settings.

METHODS

We evaluated electronic health record (EHR) data from adult patients with an International Classification of Diseases, 10th revision (ICD-10) alcohol-related diagnosis in the University of Colorado Health (UCHealth) system between January 1, 2016 and 31 December, 2019. Data from patients with an ICD-10 diagnosis code for opioid use disorder and those receiving MAUD prior to their first alcohol-related episode were excluded. The primary outcome was prescribing of MAUD, defined by prescription of naltrexone, acamprosate, and/or disulfiram. We performed bivariate and multivariate analyses to identify independent predictors of MAUD prescribing at UCHealth.

RESULTS

We identified 48,421 unique patients with 136,205 alcohol-related encounters at UCHealth. Encounters occurred in the ED (42%), inpatient acute care (17%), inpatient substance use treatment (18%), or outpatient primary care (12%) settings. Only 2270 (5%) patients received MAUD across all settings. Female sex and addiction medicine consults positively predicted MAUD prescribing. In contrast, encounters outside inpatient substance use treatment, Hispanic ethnicity, and black or non-white race were negative predictors of MAUD prescribing. Compared to inpatient substance use treatment, inpatient acute care hospitalizations for AUD was associated with a 93% reduced odds of receiving MAUD.

CONCLUSIONS

AUD-related ED and inpatient acute care hospital encounters in our healthcare system were common. Nevertheless, prescriptions for MAUD were infrequent in this population, particularly in inpatient settings. Our findings suggest that the initiation of MAUD for patients with alcohol-related diagnoses in acute care settings deserves additional evaluation.

Longitudinal analysis of the prevalence and correlates of heavy episodic drinking and self-reported opioid use among a national cohort of patients with HIV

BACKGROUND

Heavy episodic drinking (HED) is a risk factor for opioid-related overdose and negatively impacts HIV disease progression. Among a national cohort of patients with HIV (PWH), we examined sociodemographic and clinical correlates of concomitant HED and self-reported opioid use.

METHODS

We used data collected from 2002 through 2018 from the Veterans Aging Cohort Study, a prospective cohort including PWH in care at eight US Veterans Health Administration sites. HED was defined as consuming six or more drinks at least once in the year prior to survey collection. We examined the relationship between HED and self-reported opioid use and created a 4-level composite variable of HED and opioid use. We used multinomial logistic regression to estimate odds of reporting concomitant HED and self-reported opioid use.

RESULTS

Among 3702 PWH, 1458 (39.4%) reported HED during the study period and 350 (9.5%) reported opioid use. In the multinomial model, compared to reporting neither HED nor opioid use, lifetime housing instability (adjusted odds ratio [aOR] 1.54, 95% confidence interval [CI] 1.01 to 2.35), Veterans Aging Cohort Study Index 2.0 (a measure of disease severity; aOR 1.14, 95% CI 1.02 to 1.28), depressive symptoms (aOR 2.27, 95% CI 1.42 to 3.62), past-year cigarette smoking (aOR 3.06, 95% CI 1.53 to 6.14), cannabis use (aOR 1.69, 95% CI 1.09 to 2.62), and cocaine/stimulant use (aOR 11.54, 95% CI 7.40 to 17.99) were independently associated with greater odds of concomitant HED and self-reported opioid use. Compared to having attended no college, having some college or more (aOR 0.39, 95% CI 0.26 to 0.59) was associated with lower odds of concomitant HED and self-reported opioid use.

CONCLUSIONS

Among PWH, concomitant HED and self-reported opioid use are more common among individuals with depressive symptoms and substance use, structural vulnerabilities, and greater illness severity. Efforts to minimize opioid-related risk should address high-risk drinking as a modifiable risk factor for harm among these groups.

Chronic Alcohol Exposure Among People Living with HIV Is Associated with Innate Immune Activation and Alterations in Monocyte Phenotype and Plasma Cytokine Profile

Despite advances in antiretroviral therapy, chronic immune activation continues to be observed among individuals with well-controlled HIV viral loads, and is associated with non-AIDS defining morbidities among people living with HIV. Alcohol use disorder impacts a significant proportion of individuals living with HIV, and alcohol exposure is known to damage the intestinal epithelium which may increase translocation of pathogens and their molecular products, driving systemic immune activation and dysregulation. The aim of this study was to determine if adults living with HIV with well-controlled viral loads, who also suffer from alcohol use disorder with and without hepatitis C virus co-infection (n=23), exhibit evidence of advanced systemic immune activation, intestinal damage, and microbial translocation, as compared to adults living with HIV who are not exposed to chronic alcohol or other substances of abuse (n=29). The impact of a 1-month intervention to treat alcohol-use disorder was also examined. Alcohol-use disorder was associated with evidence of advanced innate immune activation, alterations in monocyte phenotype including increased expression of Toll-like receptor 4, increased burden of stimulatory ligands for Toll-like receptor 4, and alterations in plasma cytokine signature, most notably elevations in soluble CD40 ligand and transforming growth factor beta. Alcohol-associated immune activation was more pronounced among individuals with hepatitis C virus co-infection. Although the 1-month intervention to treat alcohol use disorder did not result in significant reductions in the interrogated indicators of immune activation, our findings suggest that chronic alcohol exposure is a major modifiable risk factor for chronic immune activation and dysregulation among people-living with HIV.

Twelve-Month Retention in Opioid Agonist Treatment for Opioid Use Disorder Among Patients With and Without HIV

Although opioid agonist therapy (OAT) is associated with positive health outcomes, including improved HIV management, long-term retention in OAT remains low among patients with opioid use disorder (OUD). Using data from the Veterans Aging Cohort Study (VACS), we identify variables independently associated with OAT retention overall and by HIV status. Among 7,334 patients with OUD, 13.7% initiated OAT, and 27.8% were retained 12-months later. Likelihood of initiation and retention did not vary by HIV status. Variables associated with improved likelihood of retention included receiving buprenorphine (relative to methadone), receiving both buprenorphine and methadone at some point over the 12-month period, or diagnosis of HCV. History of homelessness was associated with a lower likelihood of retention. Predictors of retention were largely distinct between patients with HIV and patients without HIV. Findings highlight the need for clinical, systems, and research initiatives to better understand and improve OAT retention.

Treatment for alcohol use disorder among persons with and without HIV in a clinical care setting in the United States

BACKGROUND

Alcohol use disorders (AUD) can lead to poor health outcomes. Little is known about AUD treatment among persons with HIV (PWH). In an integrated health system in Northern California, 2014-2017, we compared AUD treatment rates between PWH with AUD and persons without HIV (PWoH) with AUD.

METHODS

Using Poisson regression with GEE, we estimated prevalence ratios (PRs) comparing the annual probability of receiving AUD treatment (behavioral intervention or dispensed medication), adjusted for sociodemographics, psychiatric comorbidities, insurance type, and calendar year. Among PWH, we examined independent AUD treatment predictors using PRs adjusted for calendar year only.

RESULTS

PWH with AUD (N = 633; 93% men, median age 49) were likelier than PWoH with AUD (N = 7006; 95% men, median age 52) to have depression (38% vs. 21%) and a non-alcohol substance use disorder (SUD, 48% vs. 25%) (both P < 0.01). Annual probabilities of receiving AUD treatment were 45.4% for PWH and 34.4% for PWoH. After adjusting, there was no difference by HIV status (PR 1.02 [95% CI 0.94-1.11]; P = 0.61). Of treated PWH, 59% received only a behavioral intervention, 5% only a medication, and 36% both, vs. 67%, 4%, 30% for treated PWoH, respectively. Irrespective of HIV status, the most common medication was gabapentin. Among PWH, receiving AUD treatment was associated with having depression (PR 1.78 [1.51-2.10]; P < 0.01) and another SUD (PR 2.68 [2.20-3.27]; P < 0.01).

CONCLUSIONS

PWH with AUD had higher AUD treatment rates than PWoH with AUD in unadjusted but not adjusted analyses, which may be explained by higher psychiatric comorbidity burden among PWH.

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.

Impact of behavioral and medication treatment for alcohol use disorder on changes in HIV-related outcomes among patients with HIV: A longitudinal analysis

BACKGROUND

For people with HIV (PWH) and alcohol use disorder (AUD) who initiated behavioral treatment (BAUD) we: 1) describe BAUD intensity and medication (MAUD); and 2) examine whether BAUD and MAUD were associated with changes in HIV-related outcomes (CD4 cell count, HIV-1 viral load [VL], VACS Index score 2.0, and antiretroviral [ARV] adherence) from before to one year after treatment initiation.

METHODS

We used Veterans Aging Cohort Study (VACS) data to describe BAUD intensity and MAUD (acamprosate, disulfiram, and naltrexone, gabapentin or topiramate). Linear regression models estimated changes in outcomes and included BAUD, MAUD, age and race/ethnicity.

RESULTS

We identified 7830 PWH who initiated BAUD from 01/2008-09/2017. Median age was 53, 60% were African-American and 28% white. BAUD intensity groups were: 1) Single Visit - 35%; 2) Minimal - 44% recieved ∼2 visits during first month; 3) Sustained Moderate - 17% recieved ∼8 visits/month initially; and 4) Intensive - 4% started out receiving ∼14-16 visits/month. Only 9% recieved MAUD, the majority of which was gabapentin. Among those with detectable VL: all HIV-related outcomes improved more among those with more intensive BAUD. Among those with undetectable VL: adherence improved more among those with greater BAUD intensity. MAUD was associated with increased CD4 among those with detectable VL and with improved adherence among both groups.

CONCLUSION

Of those with >1 BAUD visit, only 21% received at least moderate BAUD and 9% received at least 6 months of MAUD. Increasing AUD treatment intensity may improve HIV-related outcomes, especially among those with detectable VL.

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.

Correlates of alcohol use disorder pharmacotherapy receipt in medically insured patients

BACKGROUND

Alcohol use disorder is a highly prevalent disease with multiple medications available for treatment. The overall prevalence of patients receiving pharmacotherapy is believed to be low and the characteristics and comorbidities that affect receipt are not well-established.

METHODS

We created a dataset from Truven Health Analytics MarketScan Commercial Claims and Encounters Database of patients with an outpatient encounter for alcohol abuse or dependence in 2014. We subsequently identified patient characteristics, comorbid medical, psychiatric, or substance use disorders, as well as encounter provider specialties and, using multivariable logistic regression, assessed which variables correlated with increased or decreased receipt of pharmacotherapy for alcohol use disorder for this population.

RESULTS

In our dataset of 123,355 patients, patient receipt of pharmacotherapy for alcohol use disorder was 3.3 %, and 9.3 % when restricted to the former diagnosis of alcohol dependence only. Male sex, younger age, alcohol-related liver disease, and cannabis use disorders correlated with decreased receipt whereas comorbid major depressive disorders and anxiety disorders correlated with increased receipt. Compared to patients seen by psychiatrists, those seen by primary medical doctors had a lower odds of receiving pharmacotherapy.

CONCLUSIONS

Pharmacotherapy for alcohol use disorder is an underutilized treatment modality with a low prevalence of prescription in insured individuals. Patients with specific characteristics and comorbidities are less likely to receive this treatment and greater focus on these patients and in the primary care setting can allow for increased prescribing of these medications.

Comprehensive Assessment of Alcohol Consumption in People Living with HIV (PLWH): The New Orleans Alcohol Use in HIV Study

BACKGROUND

High frequency of alcohol use among people living with HIV (PLWH) warrants careful assessment and screening to better understand its impact on HIV disease progression and development of comorbidities. Due to the limitations of the tools used to measure alcohol use, the links to health consequences are not fully understood.

METHODS

We completed a cross-sectional analysis to examine the prevalence of alcohol consumption using multiple alcohol assessment tools and their correlation and consistency in a cohort of PLWH (N = 365) enrolled in the New Orleans Alcohol Use in HIV (NOAH) Study. Alcohol use was assessed with the Alcohol Use Disorders Identification Test (AUDIT), timeline followback (TLFB) Calendar, lifetime drinking history, Alcohol and Drug Addiction Severity Index, and blood levels of phosphatidylethanol (PEth). Spearman's correlations were estimated for continuous measures of alcohol consumption; Wilcoxon rank-sum tests were used to compare means; and logistic regression was used to estimate odds of alcohol use by demographic characteristics.

RESULTS

Self-report of current alcohol use varied from 58.9 to 73.7% depending on the assessment. All the self-reported alcohol measures showed statistically significant correlations with the biological marker PEth. The highest correlation was with TLFB grams (r = 0.67, p < 0.001). Using TLFB, 73.7% of the cohort reported using alcohol in the last 30 days, and 61.6% had a positive PEth value. The prevalence of risky drinkers, meeting the TLFB > 3 (women) or >4 (men) drinks/day or>7 (women) or>14 (men) drinks/week, was 49.0%. Medium-risk drinking defined as an AUDIT score ≥ 8 was reported in 40.3%, and high-risk drinkers/probable AUD (AUDIT score ≥ 16) was met by 17.0% of the cohort.

CONCLUSIONS

Our results demonstrate the importance of comprehensive assessments for alcohol use, including self-report via multiple assessment tools administered by trained staff, as well as the addition of biomarkers for improved classification of subjects into different drinking categories.