Medicaid Expansion and Low-Income Adults with Substance Use Disorders

A multilevel analysis of changing telehealth availability in opioid use disorder treatment settings: Conditional effects of rurality, the number and types of medication for opioid use disorder available, and time, US, 2016-2023

PURPOSE

The opioid overdose crisis requires strengthening treatment systems with innovative technologies. How people use telehealth for opioid use disorder (OUD) is evolving and differs in rural versus urban areas, as telehealth is emerging as a local resource and complementary option to in-person treatment. We assessed changing trends in telehealth and medication for OUD (MOUD) and pinpoint locations of low telehealth and MOUD access.

METHODS

We used national data from the Mental health and Addiction Treatment Tracking Repository (2016-2023) to identify specialty outpatient SUD treatment facilities in the United States (N = 83,988). We modeled the availability of telehealth using multilevel multivariable logistic regression, adjusting for covariates. We included a 3-way interaction to test for conditional effects of rurality, the number of MOUD medication types dispensed, and year. We included two random effects to account for clustering within counties and states.

FINDINGS

We identified 495 facilities that offered both telehealth and all three MOUD medication types (methadone, buprenorphine, naltrexone) in 2023, clustered in the eastern United States. We identified a statistically significant 3-way interaction (p < 0.0001), indicating that telehealth in facilities that did not offer MOUD shifted from more telehealth in rural facilities in earlier years to more telehealth in urban facilities in later years.

CONCLUSIONS

Treatment facilities that offer both telehealth and all three MOUD medication types may improve access for hard-to-reach populations. We stress the importance of continued health system strengthening and technological resources in vulnerable rural communities, while acknowledging a changing landscape of increased OUD incidence and MOUD demand in urban communities.

Knowledge, experiences, and perceptions of medications for opioid use disorder among Black Kentuckians

BACKGROUND

Opioid overdoses have continued to increase at higher rates among Black Americans compared to people from other racial groups. Despite demonstrated effectiveness of MOUD in reducing risk of opioid overdose, Black Americans face decreased access to and uptake of MOUD. The current study aimed to examine the knowledge, perceptions, and experiences with MOUD among a sample of Black adults who use prescription opioids nonmedically in order to inform tailored efforts to improve MOUD uptake.

METHODS

Data were derived from a larger study assessing cultural and structural influences on drug use and drug treatment among people who use prescription opioids nonmedically. Semi-structured qualitative interviews were conducted with 34 Black men and women across four generational cohorts: born 1955-1969; 1970-1979; 1980-1994; and 1995-2001. Participant responses were analyzed using thematic analysis.

RESULTS

Nearly half of participants (44.1%) reported no knowledge or experience with MOUD. Among participants who had any knowledge about MOUD, four major themes regarding their perceptions emerged: MOUD Helps with Recovery; Not Needed for Level of Drug Use; Side Effects and Withdrawal; Equivalence with Illicit Drug Use. The majority reported negative perceptions of MOUD (52.6%), and the youngest cohort (born 1995-2001) had a higher proportion of negative perceptions (80%) relative to other age cohorts (born 1980-1994: 50%; 1970-1979: 75%; 1955-1969: 16.6%).

DISCUSSION

Findings indicate a significant knowledge gap and clear points of intervention for improving MOUD uptake. Interventions to improve communication of health information in ways that are culturally relevant and tailored by age group can be used in conjunction with efforts to improve MOUD access among Black individuals who use opioids nonmedically.

Changes in legal referrals to specialty substance use disorder treatment from 2015-2019

BACKGROUND

The policy landscape around substance use has changed dramatically in the past decade, which may have affected the number and characteristics of treatment episodes for substance use disorder (SUD). In this study, we examine changes in the volume of SUD treatment referrals from the legal system and compare changes in the composition of substances used by referral source. We used publicly available discharge data on specialty SUD treatment episodes in the U.S. from 2015-2019 and included episodes involving adults that are discharged from specialty SUD treatment facilities during the study. We calculated descriptive statistics of specialty SUD treatment discharges in each year and aggregated across all years by referral source and substance(s) reported upon admission. To test differences by year and referral source, we conducted z-tests of proportions.

RESULTS

The proportion of referrals to specialty SUD treatment from the legal system declined between 2015 and 2019 (p < 0.001). However, referrals from probation/parole and diversionary programs grew over time (p < 0.001) in number and proportion over time. Legal referrals were most often associated with alcohol or cannabis use, though referrals for these substances declined from 2015-2019.

CONCLUSIONS

This research lays the groundwork for future investigations to evaluate the effect of important policy changes on referral sources to specialty SUD treatment and the quality and outcomes associated with referrals to treatment from the legal system.

The Impact of Medicaid Institutions for Mental Disease Exclusion Waivers on the Availability of Substance Abuse Treatment Services and the Varying Effect by Ownership Type

Policy Points The adoption of Medicaid institutions for mental disease (IMD) exclusion waivers increases the likelihood of substance abuse treatment facilities offering mental health and substance abuse treatment for co-occurring disorders, especially in residential facilities. There are differential responses to IMD waivers based on facility ownership. For-profit substance abuse treatment facilities are responsive to the adoption of IMD substance use disorder waivers, whereas private not-for-profit and public entities are not. The response of for-profit facilities suggests that integration of substance abuse and mental health treatment for individuals in residential facilities may be cost-effective.

CONTEXT

Access to integrated care for those with co-occurring mental health (MH) and substance use disorders (SUDs) has been limited because of an exclusion in Medicaid on paying for SUD care for those in institutions for mental disease (IMDs). Starting in 2015, the federal government encouraged states to pursue waivers of this exclusion, and by the end of 2020, 28 states had done so. It is unclear what impact these waivers have had on the availability of care for co-occurring disorders and the characteristics of any facilities that expanded care because of them.

METHODS

Using data from the National Survey of Substance Abuse Treatment Services, we estimate a two-stage residual inclusion model including time- and state-fixed effects to examine the effect of state IMD SUD waivers on the percentage of facilities offering co-occurring MH and SUD treatment, overall and for residential facilities specifically. Separate analyses are conducted by facility ownership type.

FINDINGS

Results show that the adoption of an IMD SUD waiver is associated with 1.068 greater odds of that state having facilities offering co-occurring MH and substance abuse (SA) treatment a year or more later. The adoption of a waiver increases the odds of a state's residential treatment facility offering co-occurring MH and SA treatment by 1.129 a year or more later. Additionally, the results suggest 1.163 higher odds of offering co-occurring MH/SA treatment in private for-profit SA facilities in states that adopt an IMD SUD waiver while suggesting no significant impact on offered services by private not-for-profit or public facilities.

CONCLUSIONS

Our study findings suggest that Medicaid IMD waivers are at least somewhat effective at impacting the population targeted by the policy. Importantly, we find that there are differential responses to these IMD waivers based on facility ownership, providing new evidence for the literature on the role of ownership in the provision of health care.

Simulated impact of medicaid expansion on the economic burden of opioid use disorder in North Carolina

BACKGROUND

Opioid use disorder (OUD) imposes significant costs on state and local governments. Medicaid expansion may lead to a reduction in the cost burden of OUD to the state.

METHODS

We estimated the health care, criminal justice and child welfare costs, and tax revenue losses, attributable to OUD and borne by the state of North Carolina in 2022, and then estimated changes in the same domains following Medicaid expansion in North Carolina (adopted in December 2023). Analyses used existing literature on the national and state-level costs attributable to OUD to estimate individual-level health care, criminal justice, and child welfare system costs, and lost tax revenues. We combined Individual-level costs and prevalence estimates to estimate costs borne by the state before Medicaid expansion. Changes in costs after expansion were computed based on a) medication for opioid use disorder (MOUD) access for new enrollees and b) shifting of responsibility for some health care costs from the state to the federal government. Monte Carlo simulation accounted for the impact of parameter uncertainty. Dollar estimates are from the 2022 price year, and costs following the first year were discounted at 3 %.

RESULTS

In 2022, North Carolina incurred costs of $749 million (95 % credible interval [CI]: $305 M-$1,526 M) associated with OUD (53 % in health care, 36 % in criminal justice, 7 % in lost tax revenue, and 4 % in child welfare costs). Expanding Medicaid lowered the cost burden of OUD incurred by the state. The state was predicted to save an estimated $72 million per year (95 % CI: $6 M-$241 M) for the first two years and $30 million per year (95 % CI: -$28 M-$176 M) in subsequent years. Over five years, savings totaled $224 million (95 % CI: -$47 M-$949 M).

CONCLUSION

Medicaid expansion has the potential to decrease the burden of OUD in North Carolina, and policymakers should expedite its implementation.

Association of copayments with healthcare utilization and expenditures among Medicaid enrollees with a substance use disorder

BACKGROUND

The purpose of this study was to examine the association between copayments and healthcare utilization and expenditures among Medicaid enrollees with substance use disorders.

METHODS

This study used claims data (2020-2021) from a private insurer participating in Arkansas's Medicaid expansion. We compared service utilization and expenditures for enrollees in different Medicaid program structures with varying copayments. Enrollees with incomes above 100 % FPL (N = 10,240) had copayments for substance use treatment services while enrollees below 100 % FPL (N = 2478) did not. Demographic, diagnostic, utilization, and cost information came from claims and enrollment information. The study identified substance use and clinical comorbidities using claims from July through December 2020 and evaluated utilization and costs in 2021. Generalized linear models (GLM) estimated outcomes using single equation and two-part modeling. A gamma distribution and log link were used to model expenditures, and negative binomial models were used to model utilization. A falsification test comparing behavioral health telemedicine utilization, which had no cost sharing in either group, assessed whether differences in the groups may be responsible for observed findings.

RESULTS

Substance use enrollees with copayments were less likely to have a substance use or behavioral health outpatient (-0.04 PP adjusted; p = 0.001) or inpatient visit (-0.04 PP; p = 0.001) relative to their counterparts without copayments, equal to a 17 % reduction in substance use or behavioral health outpatient services and a nearly 50 % reduction in inpatient visits. The reduced utilization among enrollees with a copayment was associated with a significant reduction in total expenses ($954; p = 0.001) and expenses related to substance use or behavioral health services ($532; p = 0.001). For enrollees with at least one behavioral health visit, there were no differences in outpatient or inpatient utilization or expenditures between enrollees with and without copayments. Copayments had no association with non-behavioral health or telemedicine services where neither group had cost sharing.

CONCLUSION

Copayments serve as an initial barrier to substance use treatment, but are not associated with the amount of healthcare utilization conditional on using services. Policy makers and insurers should consider the role of copayments for treatment services among enrollees with substance use disorders in Medicaid programs.

Opioid use disorder (OUD) and treatment for opioid problems among OUD symptom subtypes in individuals misusing opioids

Background

In 2021, approximately 60 million individuals worldwide and 9 million individuals in the United States (US) reported opioid misuse. In the US, 2.5 million have OUD, of which only about a third receive any substance abuse treatment. OUD is often regarded as a monolithic disorder but different opioid problem subtypes may exist beyond DSM-IV/5 criteria. Understanding the characteristics of these subtypes could be useful for informing treatment and intervention strategies.

Methods

Latent class analysis was used to identify OUD symptom subtypes among persons in the US who reported misusing prescription opioids or heroin in the 2015-2018 National Survey on Drug Use and Health (n=10,928). Regression analyses were utilized to determine associations between class membership and treatment receipt, as well as demographic characteristics and other comorbid conditions.

Results

Five classes were identified with unique OUD symptom patterns: Class 1: Asymptomatic (71.6%), Class 2: Tolerance/Time (14.5%), Class 3: Loss of Control/Pharmacological (LOC/Pharmacol) (5.7%), Class 4: Social Impairment (2.6%), and Class 5: Pervasive (5.6%). Nearly all persons in the LOC/Pharmacol, Social Impairment, and Pervasive classes met criteria for OUD (98-100%); however, they differed in receipt of past-year treatment for substance use (28%, 28%, 49%, respectively). Age, race, education, insurance status, and criminal activity were also associated with treatment receipt.

Conclusions

There were considerable differences in OUD symptom patterns and substance use treatment among individuals who misused opioids. The findings indicate a substantial unmet need for OUD treatment and point to patterns of heterogeneity within OUD that can inform development of treatment programs.

Association of Medicaid expansion with health insurance, unmet need for medical care and substance use disorder treatment among people who inject drugs in 13 US states

BACKGROUND AND AIMS

Impoverished people who inject drugs (PWID) are at the epicenter of US drug-related epidemics. Medicaid expansion is designed to reduce cost-related barriers to care by expanding Medicaid coverage to all US adults living at or below 138% of the federal poverty line. This study aimed to measure whether Medicaid expansion is (1) positively associated with the probability that participants are currently insured; (2) inversely related to the probability of reporting unmet need for medical care due to cost in the past year; and (3) positively associated with the probability that they report receiving substance use disorder (SUD) treatment in the past year, among PWID subsisting at ≤ 138% of the federal poverty line.

DESIGN

A two-way fixed-effects model was used to analyze serial cross-sectional observational data.

SETTING

Seventeen metro areas in 13 US states took part in the study.

PARTICIPANTS

Participants were PWID who took part in any of the three waves (2012, 2015, 2018) of data gathered in the Center for Disease Control and Prevention's National HIV Behavioral Surveillance (NHBS), were aged ≤ 64 years and had incomes ≤ 138% of the federal poverty line. For SUD treatment analyses, the sample was further limited to PWID who used drugs daily, a proxy for SUD.

MEASUREMENTS

State-level Medicaid expansion was measured using Kaiser Family Foundation data. Individual-level self-report measures were drawn from the NHBS surveys (e.g. health insurance coverage, unmet need for medical care because of its cost, SUD treatment program participation).

FINDINGS

The sample for the insurance and unmet need analyses consisted of 19 946 impoverished PWID across 13 US states and 3 years. Approximately two-thirds were unhoused in the past year; 41.6% reported annual household incomes < $5000. In multivariable models, expansion was associated with a 19.0 [95% confidence interval (CI) = 9.0, 30.0] percentage-point increase in the probability of insurance coverage, and a 9.0 (95% CI = -15.0, -0.2) percentage-point reduction in the probability of unmet need. Expansion was unrelated to SUD treatment among PWID who used daily (n = 17 584).

CONCLUSIONS

US Medicaid expansion may curb drug-related epidemics among impoverished people who inject drugs by increasing health insurance coverage and reducing unmet need for care. Persisting non-financial barriers may undermine expansion's impact upon substance use disorder treatment in this sample.

Association Between Opioid Use Disorder and Seizure Incidents Among Alcohol Use Disorder Patients

Many previous studies have discussed an association between alcohol use disorder (AUD) and seizure incidents. There are also case reports of seizures during opioid withdrawals. Therefore, it is possible that AUD patients may have a higher risk of seizures if they also have opioid use disorder (OUD). However, it remains unproven whether AUD patients with a dual diagnosis of OUD have higher seizure incidents, to our knowledge. This study explored seizure incidents among the patients with a dual diagnosis of AUD and OUD as well as seizures among AUD only or OUD only patients. This study utilized de-identified data from 30 777 928 hospital inpatient encounters at 948 healthcare systems over 4 years (9/1/2018-8/31/2022) from the Vizient^® Clinical Database for this study. Applying the International Classification of Diseases 10th Revision (ICD-10) diagnostic codes, AUD (1 953 575), OUD (768 982), and seizure (1 209 471) encounters were retrieved from the database to examine the effects of OUD on seizure incidence among AUD patients. This study also stratified patient encounters for demographic factors such as gender, age, and race, as well as the Vizient-categorized primary payer. Greatest gender differences were identified among AUD followed by OUD, and seizure patient groups. The mean age for seizure incidents was 57.6 years, while that of AUD was 54.7 years, and OUD 48.9 years. The greatest proportion of patients in all 3 groups were White, followed by Black, with Medicare being the most common primary payer in all 3 categories. Seizure incidents were statistically more common (P < .001, chi-square) in patients with a dual diagnosis of AUD and OUD (8.07%) compared to those with AUD only (7.55%). The patients with the dual diagnosis had a higher odd ratio than those with AUD only or OUD only. These findings across more than 900 health systems provide a greater understanding of seizure risks. Consequently, this information may help in triaging AUD and OUD patients in certain higher-risk demographic groups.

Medicaid Expansion and Racial-Ethnic Health Care Coverage Disparities Among Low-Income Adults With Substance Use Disorders

OBJECTIVE

In light of historical racial-ethnic disparities in health care coverage, the authors assessed changes in coverage in nationally representative samples of Black, White, and Hispanic low-income adults with substance use disorders after the 2014 Affordable Care Act Medicaid expansion.

METHODS

Data from 12 years of the annual National Survey on Drug Use and Health (2008-2019) identified low-income adults ages 18-64 years with alcohol, cannabis, cocaine, or heroin use disorder (N=749,033). Trends in coverage focused on non-Hispanic Black, non-Hispanic White, and Hispanic individuals. Age- and sex-adjusted difference-in-differences analysis assessed effects of expansion state residence on insurance coverage for the three groups.

RESULTS

Before Medicaid expansion (2008-2013), 38.5% of Black, 37.6% of White, and 51.2% of Hispanic low-income adults with substance use disorders were uninsured. After expansion (2014-2019), these proportions significantly declined for Black (24.2%), White (22.0%), and Hispanic (34.5%) groups. Decreases in rates of individuals without insurance and increases in Medicaid coverage tended to be more pronounced for those in expansion states than for those in nonexpansion states. In nonexpansion states, the proportions of those without insurance significantly decreased among Black and White individuals but not among Hispanic individuals. Proportions receiving past-year substance use treatment did not significantly change and remained low postexpansion: Black, 10.7%; White, 14.6%; and Hispanic, 9.0%.

CONCLUSIONS

After Medicaid expansion, coverage increased for low-income Black, White, and Hispanic adults with substance use disorders. For all three groups, Medicaid coverage disproportionately increased among those living in expansion states. However, coverage remained far from universal, especially for Hispanic adults with substance use disorders.

Estimating the Prevalence of Substance Use Disorders in the US Using the Benchmark Multiplier Method

Importance

Prevalence estimates of substance use disorders in the US rely on general population surveys. However, major population groups, such as homeless individuals and institutionalized individuals, are not captured by these surveys, and participants may underreport substance use.

Objective

To estimate the prevalence of substance use disorders in the US.

Design, Setting, and Participants

The benchmark multiplier method was used to estimate the prevalence of alcohol, cannabis, opioid, and stimulant use disorders based on data from the Transformed Medicaid Statistical Information System (T-MSIS) (the benchmark) and the National Survey on Drug Use and Health (NSDUH) (the multiplier) for 2018 and 2019. T-MSIS collects administrative data on Medicaid beneficiaries 12 years and older with full or comprehensive benefits. NSDUH is a nationally representative annual cross-sectional survey of people 12 years and older. Data were analyzed from February to June 2022.

Main Outcomes and Measures

Prevalence of substance use disorders was estimated using the benchmark multiplier method based on T-MSIS and NSDUH data. Confidence intervals for the multiplier method estimates were computed using Monte Carlo simulations. Sensitivity of prevalence estimates to variations in multiplier values was assessed.

Results

This study included Medicaid beneficiaries 12 years and older accessing treatment services in the past year with diagnoses of alcohol (n = 1 017 308 in 2018; n = 1 041 357 in 2019), cannabis (n = 643 737; n = 644 780), opioid (n = 1 406 455; n = 1 575 219), and stimulant (n = 610 858; n = 657 305) use disorders and NSDUH participants with 12-month DSM-IV alcohol (n = 3390 in 2018; n = 3363 in 2019), cannabis (n = 1426; n = 1604), opioid (n = 448; n = 369), and stimulant (n = 545; n = 559) use disorders. The benchmark multiplier prevalence estimates were higher than NSDUH estimates for every type of substance use disorder in both years and in the combined 2018 to 2019 sample: 20.27% (95% CI, 17.04-24.71) vs 5.34% (95% CI, 5.10-5.58), respectively, for alcohol; 7.57% (95% CI, 5.96-9.93) vs 1.68% (95% CI, 1.59-1.79) for cannabis; 3.46% (95% CI, 2.97-4.12) vs 0.68% (0.60-0.78) for opioid; and 1.91% (95% CI, 1.63-2.30) vs 0.85% (95% CI, 0.75-0.96) for stimulant use disorders. In sensitivity analyses, the differences between the benchmark multiplier method and NSDUH estimates persisted over a wide range of potential multiplier values.

Conclusions and Relevance

The findings in this study reflect a higher national prevalence of substance use disorders than that represented by NSDUH estimates, suggesting a greater burden of these conditions in the US.

Medicaid expansion and drug overdose mortality during the COVID-19 pandemic in the United States

BACKGROUND

The COVID-19 pandemic caused disruptions in the delivery of health services, which may have adversely affected access to substance use disorder (SUD) treatment services. Medicaid expansion has been previously associated with increased access to SUD services for low-income adults. Thus, the pandemic may have differentially impacted overdose mortality depending on expansion status. This study examined trends in overdose mortality nationally and by state Medicaid expansion status from 2013 to 2020.

METHODS

State-level data on overdose mortality were obtained from the Centers for Disease Control and Prevention's WONDER database for 2013-2020 (N = 408 state-years). The primary outcomes were drug and opioid overdose deaths per 100,000 residents. The primary exposure was Medicaid expansion status as of January 1st, 2020. Difference-in-difference (DID) models were used to compare changes in outcomes between expansion and non-expansion states after the onset of the COVID-19 pandemic.

RESULTS

The U.S. experienced 91,799 drug overdose deaths in 2020, a 29.9% relative increase from 2019. Expansion states experienced an adjusted increase of 7.0 drug overdose deaths per 100,000 residents (95% CI 3.3, 10.7) and non-expansion states experienced an increase of 4.3 deaths (95% CI 1.5, 8.2) from 2019 to 2020. Similar trends were observed in opioid overdose deaths. In DID models, Medicaid expansion was not associated with changes in drug (0.9 deaths, 95% CI -2.0, 3.7) or opioid overdose deaths (0.8 deaths, 95% CI -1.8, 3.5).

CONCLUSIONS

The increase in drug or opioid overdose deaths experienced during the first year of the COVID-19 pandemic was similar in states with and without Medicaid expansion.