Statewide collaborative partnerships among American Indian and Alaska Native (AI/AN) communities in California to target the opioid epidemic: Preliminary results of the Tribal Medication Assisted Treatment (MAT) key informant needs assessment

Quantifying the Burden of Opioid Use Disorder and Non-fatal Opioid Overdose in American Indian and Alaskan Native Populations Using the Cerner Real-World Data™ Database

OBJECTIVE

This study evaluated the prevalence and incidence of opioid use disorder (OUD), rates of opioid overdose (OD), and rates of non-fatal (NF) OD in American Indian/Alaskan Native (AI/AN) populations.

METHODS

We used de-identified patient data from Oracle Cerner Real-World Data™. Rates were estimated over time, and stratified by sex, age, marital status, insurance, and region. Mann-Kendall trend tests and Theil-Sen slopes assessed changes over time for each group while autoregressive modeling assessed differences between groups.

RESULTS

The study identified trends in OUD and OD among 700,225 AI/AN patients aged 12 and above. Between 2012 and 2022, there was a significant upward trend in both OUD and OD rates (p < 0.05) , with OUD diagnosed in 1.75% and OD in 0.38% of the population. The Western region of the US exhibited the highest rates of OUD and OD. The 35-49 age group showed the highest rates of OUD, while the 12-34 age group had the highest rates of OD. Marital status analysis revealed higher rates of OUD and OD among separated, widowed, or single patients. Additionally, individuals with Medicare or Medicaid insurance demonstrated the highest rates of OUD and OD.

CONCLUSION

Results show that rates of OUD, OD, and NF OD continue to rise among AI/AN individuals, with some regional and demographic variation. Our study provides foundational estimates of key AI/AN populations bearing greater burdens of opioid-related morbidity that federal, state, and tribal organizations can use to direct and develop targeted resources that can improve the health and well-being of AI/AN communities.

An explainable machine learning framework for predicting the risk of buprenorphine treatment discontinuation for opioid use disorder among commercially insured individuals

OBJECTIVES

Buprenorphine is an effective evidence-based medication for opioid use disorder (OUD). Yet premature discontinuation undermines treatment effectiveness, increasing the risk of mortality and overdose. We developed and evaluated a machine learning (ML) framework for predicting buprenorphine care discontinuity within 12 months following treatment initiation.

METHODS

This retrospective study used United States (US) 2018-2021 MarketScan commercial claims data of insured individuals aged 18-64 who initiated buprenorphine between July 2018 and December 2020 with no buprenorphine prescriptions in the previous six months. We measured buprenorphine prescription discontinuation gaps of ≥30 days within 12 months of initiating treatment. We developed predictive models employing logistic regression, decision tree classifier, random forest, extreme gradient boosting, Adaboost, and random forest-extreme gradient boosting ensemble. We applied recursive feature elimination with cross-validation to reduce dimensionality and identify the most predictive features while maintaining model robustness. For model validation, we used several statistics to evaluate performance, such as C-statistics and precision-recall curves. We focused on two distinct treatment stages: at the time of treatment initiation and one and three months after treatment initiation. We employed SHapley Additive exPlanations (SHAP) analysis that helped us explain the contributions of different features in predicting buprenorphine discontinuation. We stratified patients into risk subgroups based on their predicted likelihood of treatment discontinuation, dividing them into decile subgroups. Additionally, we used a calibration plot to analyze the reliability of the models.

RESULTS

A total of 30,373 patients initiated buprenorphine and 14.98% (4551) discontinued treatment. C-statistic varied between 0.56 and 0.76 for the first-stage models including patient-level demographic and clinical variables. Inclusion of proportion of days covered (PDC) measured after one month and three months following treatment initiation significantly increased the models' discriminative power (C-statistics: 0.60 to 0.82). Random forest (C-statistics: 0.76, 0.79 and 0.82 with baseline predictors, one-month PDC and three-months PDC, respectively) outperformed other ML models in discriminative performance in all stages (C-statistics: 0.56 to 0.77). Most influential risk factors of discontinuation included early stage medication adherence, age, and initial days of supply.

CONCLUSION

ML algorithms demonstrated a good discriminative power in identifying patients at higher risk of buprenorphine care discontinuity. The proposed framework may help healthcare providers optimize treatment strategies and deliver targeted interventions to improve buprenorphine care continuity.

Assessing Priorities in a Statewide Cardiovascular and Diabetes Health Collaborative Based on the Results of a Needs Assessment: Cross-Sectional Survey Study

BACKGROUND

The Ohio Cardiovascular and Diabetes Health Collaborative (Cardi-OH) unites general and subspecialty medical staff at the 7 medical schools in Ohio with community and public health partnerships to improve cardiovascular and diabetes health outcomes and eliminate disparities in Ohio's Medicaid population. Although statewide collaboratives exist to address health improvements, few deploy needs assessments to inform their work.

OBJECTIVE

Cardi-OH conducts an annual needs assessment to identify high-priority clinical topics, screening practices, policy changes for home monitoring devices and referrals, and preferences for the dissemination and implementation of evidence-based best practices. The results of the statewide needs assessment could also be used by others interested in disseminating best practices to primary care teams.

METHODS

A cross-sectional survey was distributed electronically via REDCap (Research Electronic Data Capture; Vanderbilt University) to both Cardi-OH grant-funded and non-grant-funded members (ie, people who have engaged with Cardi-OH but are not funded by the grant).

RESULTS

In total, 88% (103/117) of Cardi-OH grant-funded members and 8.14% (98/1204) of non-grant-funded members completed the needs assessment survey. Of these, 51.5% (53/103) of Cardi-OH grant-funded members and 47% (46/98) of non-grant-funded members provided direct clinical care. The top cardiovascular medicine and diabetes clinical topics for Cardi-OH grant-funded members (clinical and nonclinical) were lifestyle prescriptions (50/103, 48.5%), atypical diabetes (38/103, 36.9%), COVID-19 and cardiovascular disease (CVD; 38/103, 36.9%), and mental health and CVD (38/103, 36.9%). For non-grant-funded members, the top topics were lifestyle prescriptions (53/98, 54%), mental health and CVD (39/98, 40%), alcohol and CVD (27/98, 28%), and cardiovascular complications (27/98, 28%). Regarding social determinants of health, Cardi-OH grant-funded members prioritized 3 topics: weight bias and stigma (44/103, 42.7%), family-focused interventions (40/103, 38.8%), and adverse childhood events (37/103, 35.9%). Non-grant-funded members' choices were family-focused interventions (51/98, 52%), implicit bias (43/98, 44%), and adverse childhood events (39/98, 40%). Assessment of other risk factors for CVD and diabetes across grant- and non-grant-funded members revealed screening for social determinants of health in approximately 50% of patients in each practice, whereas some frequency of depression and substance abuse screening occurred in 80% to 90% of the patients. Access to best practice home monitoring devices was challenging, with 30% (16/53) and 41% (19/46) of clinical grant-funded and non-grant-funded members reporting challenges in obtaining home blood pressure monitoring devices and 68% (36/53) and 43% (20/46) reporting challenges with continuous glucose monitors.

CONCLUSIONS

Cardi-OH grant- and non-grant-funded members shared the following high-priority topics: lifestyle prescriptions, CVD and mental health, family-focused interventions, alcohol and CVD, and adverse childhood experiences. Identifying high-priority educational topics and preferred delivery modalities for evidence-based materials is essential for ensuring that the dissemination of resources is practical and useful for providers.

Examining Characteristics of Local Public Health Systems With Exceptional Tribal Organization Participation

OBJECTIVE

To learn feasible ways to increase multisector community partnership with tribal organizations, meaning tribal health authorities or American Indian and Alaska Native (AI/AN)-serving organizations, by examining characteristics of local public health systems with exceptional tribal organization participation.

DESIGN, SETTING, AND PARTICIPANTS

In total, 728 local public health departments were surveyed in 2018 to generate a nationally representative sample of local public health systems in the United States. A positive deviance approach using logistic regression helped identify local public health systems that had tribal organization participation despite characteristics that make such participation statistically unlikely. Local public health systems with exceptional tribal organization participation were compared with systems with conventional participation, examining measures known to impact the formation of public health partnerships.

MAIN OUTCOME MEASURE

This study used an exploratory logistic regression approach to identify unique characteristics of local public health systems with exceptional tribal organization participation.

RESULTS

Of 728 health systems surveyed, 21 were identified as having exceptional tribal organization participation. Across varying thresholds to identify exceptional participation, having a higher network density and prioritizing equity in public health activities were found to consistently distinguish exceptional tribal organization participation in both nonrural and rural areas.

CONCLUSIONS

Public health partnerships with tribal organizations are possible even in circumstances that make them unlikely. Efforts to build denser networks of collaborating organizations and prioritize equity may help public health systems achieve success with tribal organization partnerships.

American Indian and Alaska Native substance use treatment: Barriers and facilitators according to an implementation framework

INTRODUCTION

Substance use disorder (SUD) and overdose deaths are higher in the American Indian and Alaska Native (AIAN) population than in other racial/ethnic groups. Multi-level gaps hinder SUD treatment for AIAN patients. Few studies have engaged front-line clinicians and administrators of SUD treatment programs serving AIAN patients to identify barriers and facilitators to improve the implementation of effective treatment.

METHODS

We conducted key informant interviews with a diverse sample of providers and administrators of SUD treatment programs across California regarding barriers and facilitators to treatment for AIAN patients. An AIAN-majority community advisory board (CAB) guided the development of an interview guide and helped to recruit respondents from five types of SUD programs statewide. Using ATLAS.ti, the research team coded interviews and classified emergent themes as barriers and facilitators related to Outer, Inner, and Individual domains of the Consolidated Framework for Implementation Research (CFIR).

RESULTS

Representatives of 13 of 15 invited SUD treatment programs participated and 9 of the 13 interviewed self-identified as AIAN. Related to Outer Setting barriers from coded interviews, a dominant barrier was policies that defund or underfund SUD treatment, especially detoxification centers. Outer Setting facilitators included consistent Indian Health Service (IHS) eligibility criteria, judicial system connections for direct treatment access, and community programs advocating SUD treatment. Key themes related to barriers for the Inner Setting were limited bed capacity, poor coordination of intake and care, and lack of telehealth technology. Facilitators integrated mental health, linkage to external resources, and culturally centered care. Individual-level barriers were negative attitudes such as SUD stigma, distrust of governmental programs, and lack of transportation while individual engagement was facilitated by programs addressing negative attitudes and providing telemedicine for remote care.

CONCLUSION

The public health threat of SUD for the AIAN population mandates the implementation of interventions and policies that facilitate care. This qualitative study with primarily AIAN clinical leaders of SUD treatment highlights opportunities to improve care at multiple CFIR levels, focusing on capacity, coordination, culturally congruent care, and community initiatives to promote engagement.

Racial And Ethnic Disparities In Buprenorphine Receipt Among Medicare Beneficiaries, 2015-19

We examined Medicare Part D claims from the period 2015-19 to identify state and national racial and ethnic disparities in buprenorphine receipt among Medicare disability beneficiaries with diagnosed opioid use disorder or opioid overdose. Racial and ethnic disparities in buprenorphine use remained persistently high during the study period, especially for Black beneficiaries, suggesting the need for targeted interventions and policies.

Overdose deaths involving synthetic opioids: Racial/ethnic and educational disparities in the eastern and western US

BACKGROUND

This study examined racial/ethnic and educational disparities in US synthetic opioid overdose mortality East and West of the Mississippi River.

METHODS

Using restricted-access 2018-2021 mortality data from the Centers for Disease Control and Prevention and population estimates from the American Community Survey, age-standardized rate ratios (SRRs) and 95% Confidence Intervals (CIs) were used to compare rates of synthetic opioid mortality by race/ethnicity and educational attainment level in the regions East and West of the Mississippi River.

RESULTS

Racial/ethnic disparities in synthetic opioid mortality rates, relative to the Non-Hispanic (NH) White population, were observed in the NH Black (SRR, 1.5 [95% CI, 1.5-1.6]) and NH American Indian/Alaska Native (SRR, 2.1 [95% CI, 1.9-2.2]) populations in the West, and the Puerto Rican (SRR, 1.3 [95% CI, 1.3-1.3]) and NH American Indian/Alaska Native (SRR, 1.5 [95% CI, 1.4-1.6]) populations in the East. Relative to those with a Bachelor's degree or higher: in the West, the synthetic opioid mortality rate was more than seven times as high for those with a high school diploma only (SRR 7.7 [95% CI, 7.4-8.0]), and in the East, approximately thirteen times as high for those with a high school diploma only (SRR, 13.0 [95% CI, 12.7-13.3]) or less than a high school diploma (SRR, 13.3 [95% CI, 13.0-13.7]).

CONCLUSION

Disparities in rates of synthetic opioid mortality differ in the eastern and western US, supporting tailored responses within each region.

Understanding opioid use within a Southwestern American Indian Reservation Community: A qualitative study

PURPOSE

Morbidity and mortality due to nonprescription use of opioids has been well documented following the significant increase in the availability of prescription opioids in the early 2000s. The aim of this paper is to explore community beliefs about correlates of opioid risk, protective factors, and behavioral functions of opioid misuse among American Indian youth and young adults living on or near a reservation.

METHODS

Qualitative in-depth interviews were conducted with N = 18 youth and young adults who were enrolled in a parent research trial focused on American Indian youth suicide prevention. Participants were eligible if they endorsed the use of opioids themselves or by close friends or family members at any point during their trial participation.

FINDINGS

Major themes discussed include: (1) description of opioid use and those who use opioids; (2) acquisition; (3) initiation; (4) motivation to continue using; (5) consequences; and (6) possibilities for intervention. Family played an important role in the initiation of use, but was also highlighted as an important factor in treatment and recovery. A need for upstream prevention methods, including increased employment and after-school activities, was described.

CONCLUSIONS

The insights gained through this work could help to inform treatment and prevention programs in the community. This work is timely due to the pressing urgency of the opioid epidemic nationally, and community capacity to address opioid use locally.

The Impact of COVID-19 on the Delivery of Educational Programs in Native American Communities: Qualitative Study

BACKGROUND

Despite the availability of culturally responsive sexual health educational programs for American Indian and Alaska Native (AI/AN) youth, barriers to their uptake and utilization persist in tribal communities. These challenges were exacerbated by the COVID-19 pandemic, which required flexible program delivery using both in-person and virtual classrooms.

OBJECTIVE

This exploratory study provides a preliminary understanding of the extent to which pre-existing challenges impact the delivery of culturally responsive sexual health education programs in Native communities and to what extent they were exacerbated by the COVID-19 pandemic. It also highlights the challenges faced by adolescent health advocates when adapting culturally responsive health curricula to online platforms. Finally, this study discloses major socioeconomic, health, and mental challenges experienced by AI/AN youth during the pandemic.

METHODS

An exploratory, descriptive, qualitative design approach was adopted to carry out 5 individual and 1 collective in-depth key informant interviews. A total of 8 Native and non-Native sexual health educators served as key informants and shared their personal experiences with the delivery of sexual health education programs for youth during the COVID-19 pandemic. The interviews were conducted virtually from October to November 2020 using Zoom to reach participants dispersed across different regions of the United States. We followed the consolidated criteria for reporting qualitative research (COREQ) as a reference for the study methodology. We also used the Braun and Clarke framework (2006) to conduct a thematic analysis.

RESULTS

Experts' opinions were structured according to 5 main themes: (1) competing community priorities during COVID-19; (2) moving to web-based programming: skills, training, support; (3) recruiting youth; and (4) challenges for implementation in a household environment; and (5) recommendations to overcome implementation challenges. These themes are complementary, connected, and should be considered holistically for the development, dissemination, and implementation of online sexual health programs for AI/AN youth, specifically during the COVID-19 pandemic. The results raised the following points for discussion: (1) Building partnerships with schools and community organizations facilitates program adaptation and implementation, (2) there is a need to adopt a holistic approach when addressing youth sexual health in AI/AN communities, (3) a systematic and culturally responsive adaptation approach ensures effective virtual program delivery, and (4) community and youth engagement is essential for the success of virtual sexual health programs.

CONCLUSIONS

Findings can provide recommendations on actions to be taken by sexual health educators and guidelines to follow to ensure cultural sensitivity, effective adaptation, and successful implementation when setting out to advocate for online sexual health programs for AI/AN youth.

Substance and Behavioral Addictions among American Indian and Alaska Native Populations

OBJECTIVE

This paper examines substance and behavioral addictions among American Indian and Alaska Natives (AIAN) to identify the structural and psychosocial risk and cultural protective factors that are associated with substance use and behavioral addictions.

METHODS

Five databases were used to search for peer reviewed articles through December 2021 that examined substance and behavioral addictions among AIANs.

RESULTS

The literature search identified 69 articles. Numerous risk factors (i.e., life stressors, severe trauma, family history of alcohol use) and protective factors (i.e., ethnic identity, family support) influence multiple substance (i.e., commercial tobacco, alcohol, opioid, stimulants) and behavioral (e.g., gambling) addictions.

CONCLUSIONS

There is a dearth of research on behavioral addictions among AIANs. Unique risk factors in AIAN communities such as historical trauma and socioeconomic challenges have interfered with traditional cultural resilience factors and have increased the risk of behavioral addictions. Future research on resilience factors and effective prevention and treatment interventions could help AIANs avoid behavioral addictions.

Substance use disorder and homelessness among American Indians and Alaska Natives in California

American Indian and Alaska Native (AIAN) communities have higher rates of substance use than other racial and ethnic groups. Substance use disorder (SUD) is tied to the increased risk of experiencing homelessness. National policies have also led to the disproportionate rates of homelessness among AIAN communities. However, specific experiences related to the occurrence of SUD and homelessness among AIAN in California, as well as seeking and accessing SUD treatment, are not well understood. This study explored potential SUD risk and resilience factors for AIANs experiencing homelessness and their experiences when seeking services for SUD. Nineteen interviews were conducted in northern, central, and southern California. Thematic analysis was used for these data. The five primary codes were: (1) risk factors for SUD, (2) resilience related to SUD service seeking, (3) services available, (4) barriers accessing services, and (5) services needed. Based on the results, themes for risk were trauma, mental health, and community conditions. Themes for resilience were identified at individual and community levels and included personal motivation and community support and inclusiveness. Themes for services available were limited knowledge about service types and services' location. The themes for barriers accessing services were identified at internal and external levels, and included lack of readiness and transportation challenges, respectively. Themes for services needed included continuum of care, integrated care, and culturally sensitive services. Findings highlight the importance of addressing the potential risk factors and service needs of AIANs experiencing homelessness to provide comprehensive and culturally sensitive services to reduce substance use.

Buprenorphine/Naloxone for Opioid Use Disorder Among Alaska Native and American Indian People

OBJECTIVES

Opioid-related disparities are magnified among Alaska Native and American Indian (ANAI) people. Yet, no outcome studies on medication for addiction treatment, an effective treatment in other populations, among ANAI people exist. The objective of this study was to identify variables associated with buprenorphine/naloxone retention among ANAI people with opioid use disorder (OUD).

METHODS

The sample was 240 ANAI adults in Anchorage, Alaska who received buprenorphine/naloxone treatment for an OUD. We gathered data from the electronic health record from January 1, 2015 to December 31, 2019. We used survival analysis to explore possible predictors (demographic variables, psychiatric comorbidity, medical severity, previous opioid prescriptions, previous injury, alcohol use disorder, and co-occurring substance use) of length of treatment retention (in days) while accounting for right censoring.

RESULTS

We found that 63% of the 240 patients were retained in buprenorphine/naloxone treatment at 90 days, 51% at 6 months, and 40% at 1 year, slightly lower than the general US population. Younger age (hazard ratio 1.69, 95% confidence intervals 1.17-2.45) and co-occurring substance use (hazard ratio 2.95, 95% confidence intervals 1.99-4.38) were associated with increased rate of buprenorphine/naloxone treatment discontinuation.

CONCLUSIONS

Younger patients and those with co-occurring substance use remain at higher risk of discontinuing buprenorphine/naloxone treatment for OUD in this population of ANAI people. Treatment programs serving ANAI people may consider paying special attention to patients with these characteristics to prevent treatment discontinuation. Our study highlights the need to address poly-substance use among ANAI people in treatment.

Native populations and the opioid crisis: forging a path to recovery

American Indian/Alaska Native (AI/AN) populations have proven particularly susceptible to the opioid crisis in the USA, but the White House’s 2019 national opioid policy roadmap is not structured to address AI/AN vulnerabilities. The concept of resilience, usually considered a positive system attribute, can be applied to complex systems to understand the larger compensatory interactions that restore systems to previous structures despite disruptions or interventions. The opioid crisis is a case of detrimental resilience because even effective interventions have not succeeded in eradicating opioid abuses. Resilience-based systemic interventions are needed to disrupt various aspects of systems while enhancing the social and cognitive abilities of affected populations to withstand the threat. This paper examines community characteristics, healthcare, and law enforcement within the context of AI/AN populations to emphasize the mechanisms that promote undesirable resilience for the opioid crisis. A research agenda bringing together systems science and management is needed to coordinate sectoral interventions and establish strategies to disrupt the resilient cycle of opioid addiction.

Trending the evidence on opioid use disorder (OUD) continuum of care among rural American Indian/Alaskan Native (AI/AN) tribes: A systematic scoping review

BACKGROUND

American Indian/Alaskan Native (AI/AN) communities are second only to White Americans in mortality from opioid use disorder (OUD), while the smallest racial/ethnic minority population group in the USA. Those in rural communities experience significant health care disparities, including poorer treatment access for substance use disorder. This systematic scoping review aimed to trend the emerging evidence on opioid use disorder (OUD) management among rural AI/AN communities as well as workforce training needs.

METHOD

We searched the Medline, Embase, PsycInfo, SSCI, and Digital theses databases for empirical study publications on OUD management among AI/AN rural communities across the continuum of prevention, treatment and care. Eight studies met the following criteria: (a) focused on OUD; (b) sampled rural AI/AN members; (c) investigated prevention, treatment and/or care perspectives and/or practices or health provider preparation; and (d) published during the period 2009-2020. Included studies met the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) quality control standards.

FINDINGS

Six of eight of the studies (75%) were surveys with community members and other stakeholders on OUD management within rural AI/AN communities rather than active interventions within this population. Moreover, five of eight of the studies (63%) reported a preference for culturally grounded health and wellness interventions with rural AI/AN, involving families, and community interventionists, utilizing community reinforcement approaches. Three of eight studies (37.5%) reported need for the cultural adaption of medication-assisted treatments (MAT) and use of culturally informed recovery care approaches. One of eight studies (12.5%) proposed to use culturally adapted contingency management behavioral approaches for OUD treatment and recovery care.

CONCLUSION

The evidence is trending to endorse culturally adapted OUD management with rural AI/AN communities, prioritizing prevention education, and use of MAT with cultural adaptation and whole person approaches to sustainable recovery care. Mental health care should be a part OUD prevention, treatment and recovery care in rural AI/AN rural communities.

Opioid knowledge and perceptions among Hispanic/Latino residents in Los Angeles

BACKGROUND

Most research and health education efforts to address the opioid crisis have focused on white populations. However, opioid use, opioid use disorder, and opioid overdose deaths also have increased among Hispanics. Methods: This study conducted four focus groups in a Hispanic community in Southern California (N = 45) to assess opioid-related knowledge, perceptions, and preventive behaviors among Hispanic residents. Focus group questions assessed medication storage, disposal, and sharing; opioid-related knowledge; how to recognize a drug problem; perceptions of the extent of the opioid use problem in the community; and sources of help for drug problems. Results: Qualitative analysis revealed that most participants were aware of the potential dangers of opioids and the importance of keeping them out of the reach of children. However, participants reported stockpiling, sharing, and borrowing prescription medications for financial reasons. They perceived marijuana use as a larger problem in the community than opioids. They were familiar with the behavioral indicators of opioid addiction, but they were unaware of the availability of naloxone to reverse overdoses. They were ambivalent about searching for information about opioids and treatment options because they lacked self-efficacy to find accurate information on the internet. Conclusions: Findings identify some knowledge gaps about opioids among Hispanics and suggest opportunities for culturally accessible health education to provide Hispanics with information about opioid use disorder, overdose reversal, and treatment options.

Risk and Protective Factors of Current Opioid Use Among Youth Living on or Near American Indian Reservations: An Application of Machine Learning

Opioid use among youth, particularly among American Indian (AI) youth, is rising, resulting in a large number of accidental overdoses and deaths. In order to develop effective prevention strategies, we need to use exploratory data analysis to identify previously unknown predictors of opioid use among youth living on or near reservations. The present study is an application of Machine Learning, a type of exploratory data analysis, to the Our Youth, Our Future epidemiological survey (N = 6482) to determine salient risk and protective factors for past 30-day opioid use. The Machine Learning algorithm identified 11 salient risk and protective factors. Importantly, highest risk was conferred for those reporting recent cocaine use, having ever tried a narcotic other than heroin, and identifying as American Indian. Protective factors included never having tried opioids other than heroin, infrequent binge drinking, having fewer friends pressuring you to use illicit drugs, initiating alcohol use at a later age, and being older. This model explained 61% of the variance in the training sample and, on average, 24% of the variance in the bootstrapped samples. Taken together, this model identifies known predictors of 30-day opioid use, for example, recent substance use, as well as unknown predictors including being AI, Snapchat use, and peer encouragement for use. Notably, recent cocaine use was a more salient predictor of recent opioid use than lifetime opioid use.

Medication Complexity among Disadvantaged African American Seniors in Los Angeles

Background. Several publications highlight data concerning multiple chronic conditions and the medication regimen complexity (MRC) used in managing these conditions as well as MRCs’ association with polypharmacy and medication non-adherence. However, there is a paucity of literature that specifically details the correlates of MRC with multimorbidity, socioeconomic, physical and mental health factors in disadvantaged (medically underserved, low income) African American (AA) seniors. Aims. In a local sample in South Los Angeles, we investigated correlates of MRC in African American older adults with chronic disease(s). Methods. This was a community-based survey in South Los Angeles with 709 African American senior participants (55 years and older). Age, gender, continuity of care, educational attainment, multimorbidity, financial constraints, marital status, and MRC (outcome) were measured. Data were analyzed using linear regression. Results. Higher MRC correlated with female gender, a higher number of healthcare providers, hospitalization events and multimorbidity. However, there were no associations between MRC and age, level of education, financial constraint, living arrangements or health maintenance organization (HMO) membership. Conclusions. Disadvantaged African Americans, particularly female older adults with multimorbidity, who also have multiple healthcare providers and medications, use the most complex medication regimens. It is imperative that MRC is reduced particularly in African American older adults with multimorbidity.

Introduction to the special issue on innovative interventions and approaches to expand medication assisted treatment: Seizing research opportunities made available by the opioid STR program

The 21st Century Cures Act is the most significant piece of U.S. legislation aimed at tackling the opioid epidemic to date. This special issue comprises papers reflecting medication-assisted treatment (MAT)-related research made possible through the Cures Act-authorized State Targeted Response (STR) grant mechanism. Work related to both STR evaluation and original research conducted within the context of STR activities are included in the issue, with topics including community assessments of MAT-related needs, MAT access and linkage, criminal justice-oriented MAT implementation, and adjunctive MAT supports and treatments. All of the research represented this issue is early-stage, with results reflecting data collected primarily within the first of STR's two year funding cycle. While such formative work does have inherent limitations, the gravity of the opioid epidemic requires rapid assessment and dissemination of results to inform the public health response in a manner that will have a timely and meaningful impact.