Low levels of initiation, engagement, and retention in substance use disorder treatment including pharmacotherapy among HIV-infected and uninfected veterans

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.

Effect of mental health staffing inputs on initiation of care among recently separated Veterans

OBJECTIVE

To estimate a causal relationship between mental health staffing and time to initiation of mental health care for new patients.

DATA SOURCES AND STUDY SETTING

As the largest integrated health care delivery system in the United States, the Veterans Health Administration (VHA) provides a unique setting for isolating the effects of staffing on initiation of mental health care where demand is high and out-of-pocket costs are not a relevant confounder. We use data from the Department of Defense and VHA to obtain patient and facility characteristics and health care use.

STUDY DESIGN

To isolate exogenous variation in mental health staffing, we used an instrumental variables approach-two-stage residual inclusion with a discrete time hazard model. Our outcome is time to initiation of mental health care after separation from active duty (first appointment) and our exposure is mental health staffing (standardized clinic time per 1000 VHA enrollees per pay period).

DATA COLLECTION/EXTRACTION METHODS

Our cohort consists of all Veterans separating from active duty between July 2014 and September 2017, who were enrolled in the VHA, and had at least one diagnosis of post-traumatic stress disorder, major depressive disorder, and/or substance use disorder in the year prior to separation from active duty (N = 54,209).

PRINCIPAL FINDINGS

An increase of 1 standard deviation in mental health staffing results in a higher likelihood of initiating mental health care (adjusted hazard ratio: 3.17, 95% confidence interval: 2.62, 3.84, p < 0.001). Models stratified by tertile of mental health staffing exhibit decreasing returns to scale.

CONCLUSIONS

Increases in mental health staffing led to faster initiation of care and are especially beneficial in facilities where staffing is lower, although initiation of care appears capacity-limited everywhere.

HIV status and substance use disorder treatment need and utilization among adults in the United States, 2015-2019: Implications for healthcare service provision and integration

INTRODUCTION

Substance use disorders (SUD) are associated with HIV acquisition and care disruptions. Most research focuses on clinical samples; however, we used a nationally representative, community-based sample to estimate SUD treatment need and utilization by HIV status.

METHODS

We included participants from the 2015-2019 National Survey on Drug Use and Health aged 18 and older who met past-year DSM-IV SUD criteria (n = 22,166). Participants self-reported whether a healthcare professional ever told them they had HIV or AIDS [i.e., people with HIV (PWH), non-PWH, HIV status unknown]. Outcomes included past-year: 1) any SUD treatment use; 2) any specialty SUD treatment use; and 3) perceived SUD treatment need. Survey weighted multivariable logistic regression models estimated the likelihood of each outcome by HIV status, adjusting for age, sex, race/ethnicity, education, survey year, health insurance status, and household income.

RESULTS

Overall, 0.5 % were PWH and 0.8 % had an HIV unknown status. Any past-year SUD treatment utilization was low across all groups (10.3 % non-PWH, 24.2 % PWH, and 17.3 % HIV status unknown respondents). Specialty SUD treatment utilization was reported by 7.2 % of non-PWH, 17.8 % PWH, and 10.9 % HIV status unknown respondents. Perceived treatment need was reported by 4.9 % of non-PWH, 12.4 % of PWH, and 3.7 % of HIV status unknown respondents. In adjusted models, PWH were more likely than non-PWH to report any past-year SUD treatment utilization (aOR = 2.06; 95 % CI = 1.08-3.94) or past-year specialty SUD treatment utilization (aOR = 2.07; 95 % CI = 1.07-4.01). Among those with a drug use disorder other than cannabis, respondents with HIV-unknown status were less likely than HIV-negative individuals to report past-year perceived treatment need (aOR = 0.39; 95 % CI = 0.20-0.77).

CONCLUSIONS

Despite high SUD treatment need among PWH, more than three quarters of PWH with SUD reported no past-year treatment. Compared to non-PWH, PWH had higher treatment utilization and higher specialty treatment utilization, but SUD treatment was low across all groups. As SUD is associated with adverse HIV outcomes, our findings highlight the need for the integration of SUD treatment with HIV testing and care. Increasing access to SUD treatment could help reduce negative SUD-related outcomes along the HIV care continuum.

Comorbidity Burden and Health Care Utilization by Substance use Disorder Patterns among People with HIV in Florida

Substance use disorder (SUD), a common comorbidity among people with HIV (PWH), adversely affects HIV clinical outcomes and HIV-related comorbidities. However, less is known about the incidence of different chronic conditions, changes in overall comorbidity burden, and health care utilization by SUD status and patterns among PWH in Florida, an area disproportionately affected by the HIV epidemic. We used electronic health records (EHR) from a large southeastern US consortium, the OneFlorida + clinical research data network. We identified a cohort of PWH with 3 + years of EHRs after the first visit with HIV diagnosis. International Classification of Diseases (ICD) codes were used to identify SUD and comorbidity conditions listed in the Charlson comorbidity index (CCI). A total of 42,271 PWH were included (mean age 44.5, 52% Black, 45% female). The prevalence SUD among PWH was 45.1%. Having a SUD diagnosis among PWH was associated with a higher incidence for most of the conditions listed on the CCI and faster increase in CCI score overtime (rate ratio = 1.45, 95%CI 1.42, 1.49). SUD in PWH was associated with a higher mean number of any care visits (21.7 vs. 14.8) and more frequent emergency department (ED, 3.5 vs. 2.0) and inpatient (8.5 vs. 24.5) visits compared to those without SUD. SUD among PWH was associated with a higher comorbidity burden and more frequent ED and inpatient visits than PWH without a diagnosis of SUD. The high SUD prevalence and comorbidity burden call for improved SUD screening, treatment, and integrated care among PWH.

HIV Prevalence and HIV Screening History Among a Veterans Association Cohort of People with Opioid and Alcohol Use Disorders

BACKGROUND

Veterans face high risk for HIV and substance use, and thus could be disproportionately impacted by the HIV and substance use disorder (SUD) "syndemic." HIV prevalence among veterans with SUD is unknown.

OBJECTIVE

To project HIV prevalence and lifetime HIV screening history among US veterans with alcohol use disorder (AUD), opioid use disorder (OUD), or both.

DESIGN

We conducted a retrospective cohort analysis using national Veterans Health Administration (VHA) data.

PARTICIPANTS

We selected three cohorts of veterans with SUD: (1) AUD, (2) OUD, and (3) AUD/OUD. Included veterans had ICD codes for AUD/OUD from 2016 to 2022 recorded in VHA electronic medical records, sourced from the VA Corporate Data Warehouse (CDW).

MAIN MEASURES

We estimated HIV prevalence by dividing the number of veterans who met two out of three criteria (codes for HIV diagnosis, antiretroviral therapy, or HIV screening/monitoring) by the total number of veterans in each cohort. We also estimated lifetime HIV screening history (as documented in VHA data) by cohort. We reported HIV prevalence and screening history by cohort and across demographic/clinical subgroups.

KEY RESULTS

Our sample included 669,595 veterans with AUD, 63,787 with OUD, and 57,015 with AUD/OUD. HIV prevalence was highest in the AUD/OUD cohort (3.9%), followed by the OUD (2.1%) and AUD (1.1%) cohorts. Veterans of Black race and Hispanic/Latinx ethnicity, with HCV diagnoses, and aged 50-64 had the highest HIV prevalence in all cohorts. Overall, 12.8%, 29.1%, and 33.1% of the AUD/OUD, OUD, and AUD cohorts did not have history of HIV screening, respectively.

CONCLUSIONS

HIV prevalence was high in all SUD cohorts, and was highest among veterans with AUD/OUD, with disparities by race/ethnicity and age. A substantial portion of veterans had not received HIV screening in the VHA. Findings highlight room for improvement in HIV prevention and screening services for veterans with SUD.

Substance Use Treatment Utilization Among Individuals With Substance Use Disorders in the United States During the COVID-19 Pandemic: Findings on the Role of Polysubstance Use, Criminal Justice Involvement, and Mental Illness From the National Survey on Drug Use and Health

This study used the National Survey on Drug Use and Health to assess a nationally representative sample (N = 4596) weighted to represent 35.2 million adults with DSM-5 criteria-determined substance use disorders (SUDs). This study explored substance use treatment utilization in 2020, emphasizing populations with high vulnerability (e.g., criminal justice involvement (CJI) through parole or probation, polysubstance use, severe mental illness, and HIV/STI). Substance use treatment was broadly defined (any inpatient, outpatient/doctor's office, self-help/other for alcohol/drugs). Our results indicated that among adults with SUDs in 2020, 7 million (20%) had multiple SUDs, 1.75 million (5%) had CJI, 5.3 million (15%) had a severe mental illness, and 1.8 million (5%) had a diagnosis of HIV/STI in the last year. Only 7% of individuals with SUD sought any substance use treatment in the past year. CJI (aOR: 13.39, 95% CI: [7.82, 22.94]), serious mental illness (aOR: 3.27, 95% CI: [1.93, 5.55]), and having both 2 (aOR: 2.10, 95% CI: [1.29, 3.42]) or 3 or more SUDs (aOR: 3.46, 95% CI: [1.82, 6.58]) were all associated with a greater likelihood of receiving treatment. Marriage (aOR: 0.43, 95% CI: [0.25, 0.74]) and having an income twice the poverty threshold (aOR: 0.53, 95% CI: [0.29, 0.94]) were associated with reduced odds of receiving any substance use treatment. Compared to those 18 to 25, older individuals had increased odds (2-4 times) of receiving treatment. Interventions are crucially needed to increase access to treatment among those with SUDs.

Impact of intensity of behavioral treatment, with or without medication treatment, for opioid use disorder on HIV outcomes in persons with HIV

BACKGROUND

Persons with HIV (PWH) and opioid use disorder (OUD) can have poor health outcomes. We assessed whether intensity of behavioral treatment for OUD (BOUD) with and without medication for OUD (MOUD) is associated with improved HIV clinical outcomes.

METHODS

We used Veterans Aging Cohort Study (VACS) data from 2008 to 2017 to identify PWH and OUD with ≥1 BOUD episode. We assessed BOUD intensity and ≥6 months of MOUD (methadone or buprenorphine) receipt during the 12 months after BOUD initiation. Linear regression models assessed the association of BOUD intensity and MOUD receipt with pre-post changes in log viral load (VL), CD4 cell count, VACS Index 2.0, antiretroviral treatment (ART) initiation, and ART adherence.

RESULTS

Among 2419 PWH who initiated BOUD, we identified five distinct BOUD intensity trajectories: single visit (39% of sample); low-intensity, not sustained (37%); high-intensity, not sustained (9%); low-intensity, sustained (11%); and high-intensity, sustained (5%). MOUD receipt was low (17%). Among 709 PWH not on ART at the start of BOUD, ART initiation increased with increased BOUD intensity (p < 0.01). Among 1401 PWH on ART at the start of BOUD, ART adherence improved more in higher-intensity BOUD groups (p < 0.01). VL, CD4 count and VACS Index 2.0 did not differ by BOUD or ≥6 months of MOUD treatment.

CONCLUSION

Among PWH and OUD who initiated BOUD, higher intensity BOUD was associated with improved ART initiation and adherence, but neither BOUD alone nor BOUD plus ≥6 months MOUD was associated with improvements in VL, CD4 count or VACS Index 2.0.

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.

"It's like a Brotherhood": Thematic analysis of veterans' identity processes in substance abuse recovery homes

This exploratory study aimed to understand how veterans' social identity influenced their experiences living in Oxford Houses (OH)-the largest network of substance use recovery homes in the United States. We conducted three focus groups, with 20 veterans who were current or former OH residents. Thematic analysis revealed several ways in which participants' veteran identity influenced their experiences living in OH, including: (1) thriving through OH organizational similarities with the military, (2) relationships with other OH residents, and (3) and growth and reintegration. The themes were interpreted using the Social Identity Theory and the Social Identity Model of Identity Change perspectives. Social identity processes were found to play an influential role in veterans' experiences in their recovery homes and reintegration into civilian life. Findings highlight the importance of veterans developing a community within a culturally congruent setting to facilitate their recovery from substance use disorders and adjustment to life post-military service.

African American/Black and Latino Adults with Detectable HIV Viral Load Evidence Substantial Risk for Polysubstance Substance Use and Co-occurring Problems: A Latent Class Analysis

Substance use problems are highly prevalent among persons living with (PLWH) in the United States and serve as serious barriers to engagement in HIV care. Yet, in contrast to studies of single substances, little is known about patterns of polysubstance use in this population. Moreover, other risk factors (e.g., financial hardship, incarceration, homelessness, and mental health distress) are also prevalent and complicate HIV management. The present study drew on a cross-sectional survey with African American/Black and Latino (AABL) adult PLWH from low socioeconomic status backgrounds in New York City who were insufficiently engaged in HIV care and evidenced detectable HIV viral load (N = 512). We used latent class analysis (LCA) to explore patterns of polysubstance use and their relationships to financial hardship, incarceration, homelessness, and mental health. LCA yielded three substance use classes: Class 1, a high polysubstance use/high-risk substance use class (9%); Class 2, a polysubstance use/moderate substance use risk class (18%); and Class 3, a moderate polysubstance use/moderate-to-low-risk substance use class (74%). Mental health symptoms were prevalent in all classes, but Class 1 had greater mental health distress than the other two classes. Current homelessness was more prevalent in Classes 1 and 2. We cannot end the HIV epidemic without engaging and treating AABL PLWH who have serious barriers to engagement along the HIV care continuum, and who evidence polysubstance use along with co-occurring risk factors. Clinical settings can develop outreach and engagement approaches to bring this subpopulation of PLWH into care settings, and further, specialized services are needed to successfully screen, treat, and retain them.

Medication Treatment of Active Opioid Use Disorder in Veterans With Cirrhosis

INTRODUCTION

Although opioid use disorder (OUD) is common in patients with cirrhosis, it is unclear how medication treatment for OUD (MOUD) is used in this population. We aimed to assess the factors associated with MOUD and mortality in a cohort of Veterans with cirrhosis and OUD.

METHODS

Within the Veterans Health Administration Corporate Data Warehouse, we developed a cohort of Veterans with cirrhosis and active OUD, using 2 outpatient or 1 inpatient International Classification of Diseases, ninth revision codes from 2011 to 2015 to define each condition. We assessed MOUD initiation with methadone or buprenorphine over the 180 days following the first OUD International Classification of Diseases, ninth revision code in the study period. We fit multivariable regression models to assess the association of sociodemographic and clinical factors with receiving MOUD and the associations between MOUD and subsequent clinical outcomes, including new hepatic decompensation and mortality.

RESULTS

Among 5,600 Veterans meeting criteria for active OUD and cirrhosis, 722 (13%) were prescribed MOUD over 180 days of follow-up. In multivariable modeling, MOUD was significantly, positively associated with age (adjusted odds ratio [AOR] per year: 1.04, 95% confidence interval (CI): 1.01-1.07), hepatitis C virus (AOR = 2.15, 95% CI = 1.37-3.35), and other substance use disorders (AOR = 1.47, 95% CI = 1.05-2.04) negatively associated with alcohol use disorder (AOR = 0.70, 95% CI = 0.52-0.95), opioid prescription (AOR = 0.51, 95% CI = 0.38-0.70), and schizophrenia (AOR = 0.59, 95% CI = 0.37-0.95). MOUD was not significantly associated with mortality (adjusted hazards ratio = 1.20, 95% CI = 0.95-1.52) or new hepatic decompensation (OR = 0.57, CI = 0.30-1.09).

DISCUSSION

Few Veterans with active OUD and cirrhosis received MOUD, and those with alcohol use disorder, schizophrenia, and previous prescriptions for opioids were least likely to receive these effective therapies.

A missed opportunity: underutilization of inpatient behavioral health services to reduce injection drug use sequelae in Florida

Background

People who inject drugs (PWID) suffer high morbidity and mortality from injection related infections (IRI). The inpatient setting is an ideal opportunity to treat underlying substance use disorder (SUD), but it is unclear how often this occurs.

Objectives

To quantify the utilization of behavioral health services for PWID during inpatient admissions for IRI.

Methods

Data for all hospital admissions in Florida in FY2017 were obtained from the Agency for Healthcare Administration. Hospitalization for IRI were obtained using a validated ICD-10 algorithm and treatment for substance use disorder was quantified using ICD-10-Procedure Coding System (ICD-10-PCS) codes.

Result

Among the 20,001 IRI admissions, there were 230 patients who received behavioral health services as defined by ICD-10-PCS SAT codes for treatment for SUD.

Conclusions

In a state with a large number of IRI, only a very small portion of admissions received behavioral health services. Increased efforts should be directed to studying referral patterns among physicians and other providers caring for this population and increasing utilization of behavioral health services.

Time trends in hospitalizations with anxiolytic, sedative, or hypnotic drug use disorder: a 17-year U.S. national study

BACKGROUND

Limited epidemiological national data are available for anxiolytic, sedative, or hypnotic drug (ASH) use disorder hospitalizations.

OBJECTIVE

To examine the time-trends in and outcomes of ASH use disorder hospitalizations.

METHODS

Rates of ASH use disorder hospitalizations and associated healthcare utilization and mortality were examined using the U.S. National Inpatient Sample data (NIS) from 1998 to 2014. Multivariable-adjusted logistic regression assessed the association of demographic, medical comorbidity (using validated composite score of 17 conditions, the Deyo-Charlson index), and hospital characteristics with healthcare utilization (total hospital charges, length of hospital stay [LOS], and discharge to a non-home setting) and inpatient mortality for hospitalizations with ASH use disorder.

RESULTS

There were an estimated 1,171,673 weighted ASH use disorder hospitalizations. The ASH use disorder hospitalization rates increased 3.12-fold from 96 to 299 per 100,000 NIS hospitalizations from 1998-2000 to 2013-2014. In the same period, associated non-home discharge rate increased 3.33-fold from 12.9 to 43 and in-hospital mortality rate increased 3.17-fold from 0.46 to 1.46 per 100,000 (all p values ≤ .002). In the multivariable-adjusted analyses, older age, black race/ethnicity, Deyo-Charlson index score of 2 or higher, non-private insurance payer, higher income, hospital region, urban setting hospital and a larger hospital bed size, were significantly associated with higher healthcare utilization outcomes and/or mortality. Female sex was associated with higher healthcare utilization outcomes, but lower in-hospital mortality.

CONCLUSIONS

This study confirmed the rising ASH use disorder hospitalization burden in the United States. An increasing inpatient mortality and non-home discharge rate for hospitalizations with ASH use disorder are concerning. The identification of modifiable and non-modifiable risk factors associated with outcomes should allow prognostication and designing of interventions to improve outcomes.

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.

All-cause mortality among males living with and without HIV initiating long-term opioid therapy, and its association with opioid dose, opioid interruption and other factors

BACKGROUND

While the relationship between long-term opioid therapy (LTOT) dose and overdose is well-established, LTOT's association with all-cause mortality is less understood, especially among people living with HIV (PLWH). There is also limited information regarding the association of LTOT cessation or interruption with mortality.

METHODS

Among PLWH and matched uninfected male veterans in care, we identified those who initiated LTOT. Using time-updated cox regression, we examined the association between all-cause mortality, unnatural death, and overdose, and opioid use categorized as 1-20 (reference group), 21-50, 51-90, and ≥ 91 mg morphine equivalent daily dose (MEDD).

RESULTS

There were 22,996 patients on LTOT, 6,578 (29 %) PLWH and 16,418 (71 %) uninfected. Among 5,222 (23 %) deaths, 12 % were unnatural deaths and 6 % overdoses. MEDD was associated with risk of all 3 outcomes; compared to patients on 1-20 mg MEDD, adjusted risk for all-cause mortality monotonically increased (Hazard Ratios (HR) [95 % CI] for 21-50 mg MEDD = 1.36 [1.21, 1.52], 51-90 mg MEDD = 2.06 [1.82, 2.35], and ≥ 91 mg MEDD = 3.03 [2.71, 3.39]). Similar results were seen in models stratified by HIV. LTOT interruption was also associated with all-cause, unnatural, and overdose mortality (HR [95 % CI] 2.30 [2.09, 2.53], 1.47 [1.13, 1.91] and 1.52 [1.04, 2.23], respectively).

CONCLUSIONS

Among PLWH and uninfected patients on LTOT we observed a strong dose-response relationship with all 3 mortality outcomes. Opioid risk mitigation approaches should be expanded to address the potential effects of higher dose on all-cause mortality in addition to unnatural and overdose fatalities.

Stability in a large drug treatment system: Examining the role of program size and performance on service discontinuation

Background

Little is known about the stability of public drug treatment in the United States to deliver services in an era of expansion of public insurance. Guided by organizational theories, we examined the role of program size, and performance (i.e., rates of treatment initiation and engagement) on discontinuing services in one of the largest treatment systems in the United States.

Methods

This study relied on multi-year (2006–2014) administrative data of 249,029 treatment admission episodes from 482 treatment programs in Los Angeles County, CA. We relied on survival regression analysis to identify associations between program size, treatment initiation (wait time) and engagement (retention and completion rates) and discontinuing services in any given year. We examined program differences between discontinued versus sustained services in pre- and post-expansion periods.

Results

Sixty-two percent of programs discontinued services at some point between 2006 and 2014. Program size and rates of treatment retention were negatively associated with risk of discontinuing services. Proportion of female clients was also negatively associated with risk of discontinuing services. Compared to residential programs, methadone programs were associated with reduced likelihood of discontinuing services. Two interactions were significant; program size and retention rates, as well as program size and completion rates were negatively associated with risk of discontinuing services.

Conclusions

Program size (large), type (methadone), performance (retention) and client population (women) were associated with stability in this drug treatment system. Because more than 70% of programs in this system are small, it is critical to support their capacity to sustain services to reduce existing disparities in access to care. We discuss the implications of these findings for system evaluation and for responding to public health crises.

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.

Social Network Cohesion among Veterans Living in Recovery Homes

Recovery homes for individuals with substance use disorders (SUD) called Oxford House (OH) have been shown to improve the prospects of a successful recovery across different sub-populations, and these homes may be particularly beneficial for veterans in recovery. An estimated 18% of OH residents are veterans; however, not much is known about their experiences living in these homes. Participants included 85 veterans and non-veterans living in 13 OHs located in different regions of the United States. Using social network analysis and multi-level modeling, we investigated whether the social networks of veterans residing with other veterans were more cohesive compared to veterans living with only non-veterans. Results indicated that veterans residing with other veterans had stronger relationships with other OH residents compared to veterans that reside with all non-veterans. The implications for theory and practice are discussed. Further research is needed to determine if greater social network cohesion leads to better recovery outcomes for veterans.

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

INTRODUCTION

Infrequent use of and poor retention on evidence-based medications for alcohol use disorder (MAUD) represent a treatment gap, particularly among people living with HIV (PLWH). We examined predictors of MAUD initiation and retention across HIV status.

METHODS

From Veterans Aging Cohort Study (VACS) data, we identified new alcohol use disorder (AUD) diagnoses from 1998 to 2015 among 163,339 individuals (50,826 PLWH and 112,573 uninfected, matched by age, sex, and facility). MAUD initiation was defined as a prescription fill for naltrexone, acamprosate or disulfiram within 30 days of a new diagnosis. Among those who initiated, retention was defined as filling medication for ≥80% of days over the following six months. We used multivariable logistic regression to assess patient- and facility-level predictors of AUD medication initiation across HIV status.

RESULTS

Among 10,603 PLWH and 24,424 uninfected individuals with at least one AUD episode, 359 (1.0%) initiated MAUD and 49 (0.14%) were retained. The prevalence of initiation was lower among PLWH than those without HIV (adjusted odds ratio [AOR] 0.66, 95% confidence interval [CI] 0.51-0.85). Older age (for PLWH: AOR 0.78, 95% CI 0.61-0.99; for uninfected: AOR 0.70, 95% CI 0.61-0.80) and black race (for PLWH: AOR 0.63, 95% CI 0.0.49-0.1.00; for uninfected: AOR 0.63, 95% CI 0.48-0.83), were associated with decreased odds of initiation for both groups. The low frequency of retention precluded multivariable analyses for retention.

CONCLUSIONS

For PLWH and uninfected individuals, targeted implementation strategies to expand MAUD are needed, particularly for specific subpopulations (e.g. black PLWH).