Racial, Ethnic, and Sex Differences in Methadone-Involved Overdose Deaths Before and After the US Federal Policy Change Expanding Take-home Methadone Doses.

Importance: In March 2020, the Substance Abuse and Mental Health Services Administration (SAMHSA) permitted states to relax restrictions on take-home methadone doses for treatment-adherent patients to minimize COVID-19 exposures. Objective: To assess whether the methadone take-home policy change was associated with drug overdose deaths among different racial, ethnic, and sex groups. Design, Setting, and Participants: Interrupted time series analysis from January 1, 2018, to June 30, 2022. Data analysis was conducted from February 18, 2023, to February 28, 2023. In this population-based cohort study of drug overdose mortality including 14 529 methadone-involved deaths, monthly counts of methadone-involved drug overdose deaths were obtained for 6 demographic groups: Hispanic men and women, non-Hispanic Black men and women, and non-Hispanic White men and women. Exposure: On March 16, 2020, in response to the first wave of the COVID-19 pandemic, SAMHSA issued an exemption to the states that permitted up to 28 days of take-home methadone for stable patients and 14 days for less stable patients. Main Outcome Measures: Monthly methadone-involved overdose deaths. Results: From January 1, 2018, to June 30, 2022 (54 months), there were 14 529 methadone-involved deaths in the United States; 14 112 (97.1%) occurred in the study's 6 demographic groups (Black men, 1234; Black women, 754; Hispanic men, 1061; Hispanic women, 520; White men, 5991; and White women, 4552). Among Black men, there was a decrease in monthly methadone deaths associated with the March 2020 policy change (change of slope from the preintervention period, -0.55 [95% CI, -0.95 to -0.15]). Hispanic men also experienced a decrease in monthly methadone deaths associated with the policy change (-0.42 [95% CI, -0.68 to -0.17]). Among Black women, Hispanic women, White men, and White women, the policy change was not associated with a change in monthly methadone deaths (Black women, -0.27 [95% CI, -1.13 to 0.59]; Hispanic women, 0.29 [95% CI, -0.46 to 1.04]; White men, -0.08 [95% CI, -1.05 to 0.88]; and White women, -0.43 [95% CI, -1.26 to 0.40]). Conclusions and Relevance: In this interrupted time series study of monthly methadone-involved overdose deaths, the take-home policy may have helped reduce deaths for Black and Hispanic men but had no association with deaths of Black or Hispanic women or White men or women.

Estimated Reductions in Opioid Overdose Deaths With Sustainment of Public Health Interventions in 4 US States.

Importance: In 2021, more than 80 000 US residents died from an opioid overdose. Public health intervention initiatives, such as the Helping to End Addiction Long-term (HEALing) Communities Study (HCS), are being launched with the goal of reducing opioid-related overdose deaths (OODs). Objective: To estimate the change in the projected number of OODs under different scenarios of the duration of sustainment of interventions, compared with the status quo. Design, Setting, and Participants: This decision analytical model simulated the opioid epidemic in the 4 states participating in the HCS (ie, Kentucky, Massachusetts, New York, and Ohio) from 2020 to 2026. Participants were a simulated population transitioning from opioid misuse to opioid use disorder (OUD), overdose, treatment, and relapse. The model was calibrated using 2015 to 2020 data from the National Survey on Drug Use and Health, the US Centers for Disease Control and Prevention, and other sources for each state. The model accounts for reduced initiation of medications for OUD (MOUDs) and increased OODs during the COVID-19 pandemic. Exposure: Increasing MOUD initiation by 2- or 5-fold, improving MOUD retention to the rates achieved in clinical trial settings, increasing naloxone distribution efforts, and furthering safe opioid prescribing. An initial 2-year duration of interventions was simulated, with potential sustainment for up to 3 additional years. Main Outcomes and Measures: Projected reduction in number of OODs under different combinations and durations of sustainment of interventions. Results: Compared with the status quo, the estimated annual reduction in OODs at the end of the second year of interventions was 13% to 17% in Kentucky, 17% to 27% in Massachusetts, 15% to 22% in New York, and 15% to 22% in Ohio. Sustaining all interventions for an additional 3 years was estimated to reduce the annual number of OODs at the end of the fifth year by 18% to 27% in Kentucky, 28% to 46% in Massachusetts, 22% to 34% in New York, and 25% to 41% in Ohio. The longer the interventions were sustained, the better the outcomes; however, these positive gains would be washed out if interventions were not sustained. Conclusions and Relevance: In this decision analytical model study of the opioid epidemic in 4 US states, sustained implementation of interventions, including increased delivery of MOUDs and naloxone supply, was found to be needed to reduce OODs and prevent deaths from increasing again.

Considerations for the design of overdose education and naloxone distribution interventions: results of a multi-stakeholder workshop.

INTRODUCTION: Opioid overdose epidemic is a public health crisis that is impacting communities around the world. Overdose education and naloxone distribution programs equip and train lay people to respond in the event of an overdose. We aimed to understand factors to consider for the design of naloxone distribution programs in point-of-care settings from the point of view of community stakeholders. METHODS: We hosted a multi-stakeholder co-design workshop to elicit suggestions for a naloxone distribution program. We recruited people with lived experience of opioid overdose, community representatives, and other stakeholders from family practice, emergency medicine, addictions medicine, and public health to participate in a full-day facilitated co-design discussion wherein large and small group discussions were audio-recorded, transcribed and analysed using thematic approaches. RESULTS: A total of twenty-four participants participated in the multi-stakeholder workshop from five stakeholder groups including geographic and setting diversity. Collaborative dialogue and shared storytelling revealed seven considerations for the design of naloxone distribution programs specific to training needs and the provision of naloxone, these are: recognizing overdose, how much naloxone, impact of stigma, legal risk of responding, position as conventional first aid, friends and family as responders, support to call 911. CONCLUSION: To create an naloxone distribution program in emergency departments, family practice and substance use treatment services, stigma is a central design consideration for training and naloxone kits. Design choices that reference the iconography, type, and form of materials associated with first aid have the potential to satisfy the need to de-stigmatize overdose response.

Neuromodulation and Opioid Use Disorder: Ethical Opportunities for Canada.

Despite increased efforts of government and non-government organisations to intervene via harm reduction and education initiatives, the opioid crisis has continued to worsen and has been exacerbated by the COVID-19 pandemic. In British Columbia, Canada, opioid overdose deaths in 2021 are the highest ever recorded. Neuromodulation procedures such as deep brain stimulation and repetitive transcranial magnetic stimulation have gained traction as treatments for opioid use disorder in various countries such as Germany, the Netherlands, the United States and China. However, these treatment options have been met with apprehension from both clinicians and patients, likely owing to fear, stigma and reluctance to label addiction as a brain disorder. Further complicating this landscape are socio-demographic factors, as marginalised communities are disproportionately burdened by addiction, while having poor access to care and a history of distrust in the health system. This multifactorial challenge involving many sociocultural factors requires culturally sensitive, interdisciplinary approaches to ensure direct-to-brain innovations are implemented ethically and equitably. This review summarises the state of the science for using neuromodulation to treat opioid use disorder, as well as the available ethical discourse surrounding the expansion of clinical trials and eventual widespread clinical implementation. Additional ethics discussions highlight opportunities for the engineering and clinical evolution of neuromodulation for opioid use disorder trials.

Emergency Department Visits Involving Mental Health Conditions, Suicide-Related Behaviors, and Drug Overdoses Among Adolescents - United States, January 2019-February 2023.

The U.S. adolescent mental and behavioral health crisis is ongoing,* with high pre-COVID-19 pandemic baseline rates† (1) and further increases in poor mental health (2), suicide-related behaviors (3), and drug overdose deaths (4) reported during 2020-2021. CDC examined changes in U.S. emergency department (ED) visits for mental health conditions (MHCs) overall and for nine specific MHCs,§ suicide-related behaviors (including suspected suicide attempts), and drug-involved overdoses (including opioids) among children and adolescents aged 12-17 years (adolescents) during January 2019-February 2023, overall and by sex. Compared with fall 2021, by fall 2022, decreases in weekly ED visits were reported among all adolescents, and females specifically, for MHCs overall, suicide-related behaviors, and drug overdoses; weekly ED visits among males were stable. During this same period, increases in weekly ED visits for opioid-involved overdoses were detected. Mean weekly ED visits in fall 2022 for suicide-related behaviors and MHCs overall were at or lower than the 2019 prepandemic baseline, respectively, and drug overdose visits were higher. Differences by sex were observed; levels among females were at or higher than prepandemic baselines for these conditions. These findings suggest some improvements as of fall 2022 in the trajectory of adolescent mental and behavioral health, as measured by ED visits; however, poor mental and behavioral health remains a substantial public health problem, particularly among adolescent females. Early identification and trauma-informed interventions, coupled with expanded evidence-based, comprehensive prevention efforts, are needed to support adolescents' mental and behavioral health.

Acceptability of a Fentanyl Vaccine to Prevent Opioid Overdose and Need for Personalized Decision-Making.

BACKGROUND: The opioid epidemic worsened during the coronavirus disease 2019 (COVID-19) pandemic. Synthetic opioids (primarily fentanyl) comprise the most common drugs involved in overdose (OD) death. A vaccine that blocks fentanyl from reaching the brain to prevent OD is under development, and insight is needed into its acceptability. METHODS: Using a semi-structured interview guide, persons with opioid use disorder (OUD), family, professionals, and the public were interviewed about attitudes and concerns regarding a fentanyl vaccine. Reactions to fictional clinical vignettes of persons at risk of OUD because of pain and/or substance use histories were collected, analyzed, and quantified for favorability. Interviews were transcribed, coded, and analyzed thematically. RESULTS: Among N = 64 participants, (70.3% female, average age 32.4 years), attitudes were favorable toward a fentanyl vaccine, with preference for lifelong durability (76% of n = 55 asked). Perceived benefits centered on the potential for a life-saving intervention, suffering averted, healthcare dollars saved, and the utility of a passive harm reduction strategy. Concerns centered on uncertainty regarding vaccine safety, questions about efficacy, worry about implications for future pain management, stigma, and need for supportive counseling and guidance to personalize decision making. Reactions to vignettes revealed complex attitudes toward fentanyl vaccination when considering recipient age, health history, and future risks for addiction and pain. CONCLUSIONS: Positive responses to a fentanyl vaccine were found along with appreciation for the complexity of a vaccine strategy to prevent OD in the setting of pain and uncertain durability. Further research is needed to elucidate operational, ethical, and communications strategies to advance the model.

Outcomes of a mobile medical unit for low-threshold buprenorphine access targeting opioid overdose hot spots in Chicago.

INTRODUCTION: Opioid overdoses in Chicago are unevenly distributed, affecting medically underserved neighborhoods most acutely. Innovations in reaching patients perceived to be hard-to-reach (e.g., unstably housed, marginalized), especially in these underserved neighborhoods, are urgently needed to combat the overdose crisis. This study characterizes the pilot year of a mobile medical unit partnership between a large urban academic center and a community-based harm reduction organization in Chicago. METHODS: This is a retrospective cohort study of all patients who were seen on a mobile medical unit focused on providing low-threshold buprenorphine and primary care in areas with high opioid overdose rates on Chicago's West Side. Treatment episodes were accrued between July 1, 2021, and June 30, 2022 in the first year of operation. The main outcomes were number of patients seen, demographic characteristics of patients, and reason(s) for visit over time. RESULTS: The study saw 587 unique patients on the mobile medical unit between July 1, 2021, and June 30, 2022. Approximately 64.6 % were African American, and more than half lacked active insurance or could not confirm insurance status at the time of visit. The most common reason for initial visit was COVID-19 vaccination (42.4 %), and the most common reason for follow-up visit was buprenorphine treatment (51.0 %). Eleven patients initially presented for other health concerns and later returned to initiate buprenorphine. CONCLUSIONS: The mobile medical unit successfully reached nearly 600 patients in traditionally medically underserved Chicago neighborhoods with the highest overdose rates. The mobile unit's integrated approach met a variety of health needs, including buprenorphine initiation, with a unique opportunity for postoverdose initiation. Several patients initiated buprenorphine after presenting for different health concerns, showing the potential of an integrated approach to build on past mobile outreach programs and reach people with opioid use disorder who are not yet ready to initiate treatment.

Experiences of patients at high risk of opioid overdose accessing emergency department and behavioral health interventions: a qualitative analysis in an urban emergency department.

BACKGROUND: Emergency Departments (EDs) have become critical 'touchpoints' for the identification and early engagement of patients at risk of overdose or who have an opioid use disorder (OUD). Our objectives were to examine patients' ED experiences, identify barriers and facilitators of service uptake in ED settings, and explore patients' experiences with ED staff. METHODS: This qualitative study was part of a randomized controlled trial that evaluated the effectiveness of clinical social workers and certified peer recovery specialists in increasing treatment uptake and reducing opioid overdose rates for people with OUD. Between September 2019 and March 2020, semi-structured interviews were conducted 19 participants from the trial. Interviews sought to assess participants' ED care experiences across intervention type (i.e., clinical social worker or peer recovery specialist). Participants were purposively sampled across intervention arm (social work, n = 11; peer recovery specialist, n = 7; control, n = 1). Data were analyzed thematically with a focus on participant experiences in the ED and social and structural factors shaping care experiences and service utilization. RESULTS: Participants reported varied ED experiences, including instances of discrimination and stigma due to their substance use. However, participants underscored the need for increased engagement of people with lived experience in ED settings, including the use of peer recovery specialists. Participants highlighted that ED provider interactions were critical drivers of shaping care and service utilization and needed to be improved across EDs to improve post-overdose care. CONCLUSIONS: While the ED provides an opportunity to reach patients at risk of overdose, our results demonstrate how ED-based interactions and service provision can impact ED care engagement and service utilization. Modifications to care delivery may improve experiences for patients with OUD or at high risk for overdose. TRIAL REGISTRATION: Clinical trial registration: NCT03684681.

Predictors of opioid overdose during the COVID-19 pandemic: The role of relapse, treatment access and nonprescribed buprenorphine/naloxone.

INTRODUCTION: Emerging data indicate a disproportionate increase in overdose deaths since the onset of COVID-19. Speculation about causes for the increase center on rising drug use, illicit drug supply changes, and reduced treatment access. Possible overdose mitigation factors include reduced federal MOUD prescribing restrictions, naloxone distribution programs, and increased use of telehealth. Similarly, nonprescribed buprenorphine (NPB) use, increasingly described as a harm reduction strategy in the absence of treatment, may have moderated overdose risk. This study explored factors associated with pandemic-related overdose in people who use opioids (PWUO) in New Jersey. METHODS: We surveyed 342 PWUO from March to May 2021. Approximately 50 % of our sample was treated at some time since the COVID-19 emergency declaration in March 2020. The risk and protective factors associated with overdose were identified using Pearson's chi square test and ANOVA and tested in a series of multivariable logistic regression models for the full sample and the subsample of PWUO treated during the pandemic. RESULTS: Forty-eight percent of respondents increased their drug use during the pandemic, including 32 % who relapsed after previous abstinence. Fifteen percent overdosed at least once since March 2020. In the full sample, overdose was associated with Hispanic ethnicity (AOR = 3.51; 95 % CI = 1.22-10.11), pre-pandemic overdose (AOR = 6.75; 95 % CI = 3.03-15.02), lack/loss of medical insurance (AOR = 3.02; 95 % CI = 1.01-9.02), relapse (AOR = 2.94; 95 % CI = 1.36-6.36), and nonprescribed use of buprenorphine/naloxone (AOR = 3.16; 95 % CI = 1.49-6.70). The study found similar trends in the treatment sample, with the exceptions that heroin/fentanyl use also predicted overdose (AOR = 3.43; 95 % CI = 1.20-9.78) and the association of overdose with nonprescribed buprenorphine/naloxone was stronger (AOR = 4.91; 95 % CI = 2.01-12.03). Potential mitigating factors, such as take-home methadone and telehealth, were not significant. CONCLUSIONS: Relapse during the pandemic was widespread and a significant contributor to overdose. Lack/loss of medical insurance further exacerbated the risk. Despite the growing literature reporting "therapeutic" use of NPB, people using nonprescribed buprenorphine/naloxone in the current study experienced up to five times the risk of overdose as nonusers. This finding suggests that, despite therapeutic intent, PWUO may be using NPB in ways that are ineffectual for addiction management, especially in the context of changing buprenorphine induction protocols in the context of fentanyl.

Comparison of Postpartum Opioid Prescriptions Before vs During the COVID-19 Pandemic.

Importance: The COVID-19 pandemic substantially disrupted routine health care and exacerbated existing barriers to health care access. Although postpartum women frequently experience pain that interferes with activities of daily living, which is often successfully treated with prescription opioid analgesics, they are also at high risk for opioid misuse. Objective: To compare postpartum opioid prescription fills after the onset of the COVID-19 pandemic in March 2020 with fills before the pandemic. Design, Setting, and Participants: In this cross-sectional study of 460 371 privately insured postpartum women who delivered a singleton live newborn between July 1, 2018, and December 31, 2020, postpartum opioid fills before March 1, 2020, were compared with fills after March 1, 2020. Statistical analysis was performed from December 1, 2021, to September 15, 2022. Exposure: COVID-19 pandemic onset in March 2020. Main Outcomes and Measures: The main outcome was postpartum opioid fills, defined as patient fills of opioid prescriptions during the 6 months after birth. Opioid prescriptions were explored in terms of 5 measures: mean number of fills per person, mean filled morphine milligram equivalents (MMEs) per day, mean days supplied, percentage of patients filling a prescription for a schedule II opioid, and percentage of patients filling a prescription for a schedule III or higher opioid. Results: Among 460 371 postpartum women (mean [SD] age at delivery, 29.0 [10.8] years), those who gave birth to a single, live newborn after March 2020 were 2.8 percentage points more likely to fill an opioid prescription than expected based on the preexisting trend (forecasted, 35.0% [95% CI, 34.0%-35.9%]; actual, 37.8% [95% CI, 36.8%-38.7%]). The COVID-19 period was also associated with an increase in MMEs per day (forecasted mean [SD], 34.1 [2.0] [95% CI, 33.6-34.7]; actual mean [SD], 35.8 [1.8] [95% CI, 35.3-36.3]), number of opioid fills per patient (forecasted, 0.49 [95% CI, 0.48-0.51]; actual, 0.54 [95% CI, 0.51-0.55]), and percentage of patients filling a schedule II opioid prescription (forecasted, 28.7% [95% CI, 27.9%-29.6%]; actual, 31.5% [95% CI, 30.6%-32.3%]). There was no significant association with days' suppy of opioids per prescription or percentage of patients filling a prescription for a schedule III or higher opioid. Results stratified by delivery modality showed that the observed increases were larger for patients who delivered by cesarean birth than those delivering vaginally. Conclusions and Relevance: This cross-sectional study suggests that the onset of the COVID-19 pandemic was associated with significant increases in postpartum opioid fills. Increases in opioid prescriptions may be associated with increased risk of opioid misuse, opioid use disorder, and opioid-related overdose among postpartum women.

Opioid overdose prevention education in Texas during the COVID-19 pandemic.

BACKGROUND: Distribution of naloxone and training on its proper use are evidence-based strategies for preventing opioid overdose deaths. In-person naloxone training was conducted in major metropolitan areas and urban centers across Texas as part of a state-wide targeted opioid response program. The training program transitioned to a live, virtual format during the COVID-19 public health emergency declaration. This manuscript describes the impact of this transition through analyses of the characteristics of communities reached using the new virtual training format. CASE PRESENTATION: Training participant addresses were compared to county rates of opioid overdose deaths and broadband internet access, and census block comparison to health services shortages, rural designation, and race/ethnicity community characteristics. CONCLUSIONS: The virtual training format reached more learners than the in-person events. Training reached nearly half of the counties in Texas, including all with recent opioid overdose deaths. Most participants lived in communities with a shortage of health service providers, and training reached rural areas, those with limited broadband internet availability, and majority Hispanic communities. In the context of restrictions on in-person gathering, the training program successfully shifted to a live, online format. This transition increased participation above rates observed pre-pandemic and reached communities with the need for equipping those most likely to witness an opioid overdose with the proper use of naloxone.

Using formative evaluation of a community-based opioid overdose prevention program to inform strategic communication for adoption, implementation, and sustainability.

BACKGROUND: Opioid addiction and overdose is a public health problem in the United States and is expected to remain with substance use increasing due to the COVID-19 pandemic. Communities that approach this issue through multi-sector partnerships experience more positive health outcomes. Understanding motivation for stakeholder engagement in these efforts is essential to successful adoption, implementation, and sustainability particularly in the shifting landscape of needs and resources. METHODS: A formative evaluation was conducted on the C.L.E.A.R. Program in Massachusetts, a state heavily impacted by the opioid epidemic. A stakeholder power analysis identified appropriate stakeholders for the study (n = 9). The Consolidated Framework for Implementation Research (CFIR) guided data collection and analysis. Surveys (n = 8) examined perception and attitudes on the program; motivations and communication for engagement; and, benefits and barriers to collaboration. Stakeholder interviews (n = 6) explored the quantitative findings in more detail. Surveys were analyzed using descriptive statistics and a content analysis with deductive approach was conducted for stakeholder interviews. The Diffusion of Innovation (DOI) Theory guided recommendations for communications to engage stakeholders. RESULTS: Agencies represented a range of sectors and the majority (n = 5) were familiar with the C.L.E.A.R. PROGRAM: Despite the many strengths of the program and existing collaboration, based on the coding densities of each CFIR construct stakeholders identified crucial gaps in the services the program provided and noted that the overall infrastructure of the program could be enhanced. Opportunities for strategic communication to address the stages of DOI align with the gaps identified in the CFIR domains to result in increased agency collaboration and expansion of services into the surrounding communities to ensure sustainability of the C.L.E.A.R. CONCLUSIONS: This study explored factors necessary for ongoing multi-sector collaboration and sustainability of an existing community-based program especially given the changing context from COVID-19. Findings informed both program revisions and communication strategies to promote the program to new and existing collaborating agencies and the community served, and identify effective communication approaches across sectors. This is essential for successful implementation and sustainability of the program, especially as it is adapted and expanded to address post-pandemic times. TRIAL REGISTRATION: This study does not report results of a health care intervention on human participants, however it was reviewed and determined an exempt study with the Boston University Institutional Review Board (IRB #H-42107).

Geographic variations in opioid overdose patterns in Pennsylvania during the COVID-19 pandemic.

The convergence of the opioid epidemic and the COVID-19 pandemic has created new health challenges throughout the United States. Since the onset of the pandemic, media attention and scholarly research have drawn attention to the intersections of addiction and COVID-19. However, there remain few empirical studies that examine the direct impacts of the COVID-19 pandemic for opioid overdose patterns. Even fewer have integrated quantitative and qualitative methods to detail the place-specific dynamics shaping opioid overdose and addiction treatment during the COVID-19 pandemic. This article measures and maps change in the age-adjusted rate of opioid-related overdose incidents at the county level from 2018 to 2020. These analyses are combined with interviews conducted since December 2020 with public health providers in the state of Pennsylvania to identify the key factors influencing opioid misuse and transformations in addiction treatment practices.

Examination of methadone involved overdoses during the COVID-19 pandemic.

BACKGROUND: The US opioid overdose epidemic continues to escalate. The restrictions on methadone availability including take-home dosing were loosened during the COVID-19 pandemic although there have been concerns about the high street value of diverted methadone. This report examined how fatal overdoses involving methadone have changed over the past two-decades including during the pandemic. METHODS: The CDC's Wide-ranging Online Data for Epidemiologic Research (WONDER) was used to find the unintentional methadone related overdose death rate from 1999 to 2020. Unintentional methadone deaths were defined using the ICD X40-44 codes with only data for methadone (T40.3). Data from the DEA's Automation of Reports and Consolidated Orders System (ARCOS) on methadone overall use, opioid treatment programs use, and pain management use was gathered for all states for 2020 and corrected for population. RESULTS: There have been dynamic changes over the past two-decades in methadone overdoses. Overdoses increased from 1999 (0.9/million) to 2007 (15.9) and declined until 2019 (6.5). Overdoses in 2020 (9.6) were 48.1% higher than in 2019 (t(50) = 3.05, p < .005). The state level correlations between overall methadone use (r(49) = +0.75, p < .001), and opioid treatment program use (r(49) = +0.77, p < .001) with overdoses were positive, strong, and statistically significant. However, methadone use for pain treatment was not associated with methadone overdoses (r(49) = -0.08). CONCLUSIONS: Overdoses involving methadone significantly increased by 48.1% in 2020 relative to 2019. Policy changes that were implemented following the COVID-19 pandemic involving methadone take-homes may warrant further study before they are made permanent.

Study protocol for a multisite randomized controlled trial of a peer navigator intervention for emergency department patients with nonfatal opioid overdose.

BACKGROUND: Patients presenting to emergency departments (EDs) after a nonfatal opioid-involved overdose are at high risk for future overdose and death. Responding to this risk, the New York City (NYC) Department of Health and Mental Hygiene operates the Relay initiative, which dispatches trained peer "Wellness Advocates" to meet patients in the ED after a suspected opioid-involved overdose and follow them for up to 90 days to provide support, education, referrals to treatment, and other resources using a harm reduction framework. METHODS: In this article, we describe the protocol for a multisite randomized controlled trial of Relay. Study participants are recruited from four NYC EDs and are randomized to receive the Relay intervention or site-directed care (the control arm). Outcomes are assessed through survey questionnaires conducted at 1-, 3-, and 6-months after the baseline visit, as well as through administrative health data. The primary outcome is the number of opioid-related adverse events, including any opioid-involved overdose or any other substance use-related ED visit, in the 12 months post-baseline. Secondary and exploratory outcomes will also be analyzed, as well as hypothesized mediators and moderators of Relay program effectiveness. CONCLUSION: We present the protocol for a multisite randomized controlled trial of a peer-delivered OD prevention intervention in EDs. We describe how the study was designed to minimize disruption to routine ED operations, and how the study was implemented and adapted during the COVID-19 pandemic. This trial is registered with ClinicalTrials.gov [NCT04317053].

Opioid-involved overdose trainings delivered using remote learning modalities.

AIM: This education-focused study examined changes in nursing students' knowledge and attitudes towards responding to opioid-involved overdoses following participation in trainings delivered using remote learning modalities. DESIGN: This pre-post study examined learning outcomes among 17 nursing students. METHODS: Participants completed the Opioid Overdose Attitude Scale and Opioid Overdose Knowledge Scale to assess attitudes and knowledge, respectively. Trainings were delivered to two separate groups, one via virtual reality immersive video and another over video conferencing. RESULTS: Attitude scores increased by an average of 12.2 points and knowledge scores increased by 1.65 points. Within the virtual reality group, attitude scores increased by an average of 10 points, while no significant changes were observed in knowledge scores. The video conferencing group improved in both attitude and knowledge scores, by an average of 16.2 points and 2.1 points, respectively. CONCLUSIONS: These hypothesis generating results illustrate the utility of remote learning approaches to deliver trainings, while maintaining social distance during the ongoing COVID-19 pandemic.

Trends and Characteristics of Buprenorphine-Involved Overdose Deaths Prior to and During the COVID-19 Pandemic.

Importance: Buprenorphine remains underused in treating opioid use disorder, despite its effectiveness. During the onset of the COVID-19 pandemic, the US government implemented prescribing flexibilities to support continued access. Objective: To determine whether buprenorphine-involved overdose deaths changed after implementing these policy changes and highlight characteristics and circumstances of these deaths. Design, Setting, and Participants: This cross-sectional study used data from the State Unintentional Drug Overdose Reporting System (SUDORS) to assess overdose deaths in 46 states and the District of Columbia occurring July 2019 to June 2021. Data were analyzed from March 7, 2022, to June 30, 2022. Main Outcomes and Measures: Buprenorphine-involved and other opioid-involved overdose deaths were examined. Monthly opioid-involved overdose deaths and the percentage involving buprenorphine were computed to assess trends. Proportions and exact 95% CIs of drug coinvolvement, demographics, and circumstances were calculated by group. Results: During July 2019 to June 2021, 32 jurisdictions reported 89 111 total overdose deaths and 74 474 opioid-involved overdose deaths, including 1955 buprenorphine-involved overdose deaths, accounting for 2.2% of all drug overdose deaths and 2.6% of opioid-involved overdose deaths. Median (IQR) age was similar for buprenorphine-involved overdose deaths (41 [34-55] years) and other opioid-involved overdose deaths (40 [31-52] years). A higher proportion of buprenorphine-involved overdose decedents, compared with other opioid-involved decedents, were female (36.1% [95% CI, 34.2%-38.2%] vs 29.1% [95% CI, 28.8%-29.4%]), non-Hispanic White (86.1% [95% CI, 84.6%-87.6%] vs 69.4% [95% CI, 69.1%-69.7%]), and residing in rural areas (20.8% [95% CI, 19.1%-22.5%] vs 11.4% [95% CI, 11.2%-11.7%]). Although monthly opioid-involved overdose deaths increased, the proportion involving buprenorphine fluctuated but did not increase during July 2019 to June 2021. Nearly all (92.7% [95% CI, 91.5%-93.7%]) buprenorphine-involved overdose deaths involved at least 1 other drug; higher proportions involved other prescription medications compared with other opioid-involved overdose deaths (eg, anticonvulsants: 18.6% [95% CI, 17.0%-20.3%] vs 5.4% [95% CI, 5.2%-5.5%]) and a lower proportion involved illicitly manufactured fentanyls (50.2% [95% CI, 48.1%-52.3%] vs 85.3% [95% CI, 85.1%-85.5%]). Buprenorphine decedents were more likely to be receiving mental health treatment than other opioid-involved overdose decedents (31.4% [95% CI, 29.3%-33.5%] vs 13.3% [95% CI, 13.1%-13.6%]). Conclusions and Relevance: The findings of this cross-sectional study suggest that actions to facilitate access to buprenorphine-based treatment for opioid use disorder during the COVID-19 pandemic were not associated with an increased proportion of overdose deaths involving buprenorphine. Efforts are needed to expand more equitable and culturally competent access to and provision of buprenorphine-based treatment.

Methadone-involved overdose deaths in the United States before and during the COVID-19 pandemic.

BACKGROUND: Few studies have characterized methadone-involved overdose deaths in the US since 2014 despite changing patterns of opioid use, the onset of the COVID-19 pandemic, and changes to take-home dose guidance in opioid treatment programs (OTPs) in March 2020. METHODS: Data on monthly overdose deaths in the US from January 1, 2007 to March 31, 2021 were obtained through CDC WONDER. Interrupted time series models were used to assess for changes in series levels starting in April 2020. Analyses were stratified by involvement of synthetic opioids in overdose deaths. RESULTS: An increase in methadone-involved overdoses of 105.4 deaths per month (95 % CI: 73.8-137.0) occurred starting in April 2020 compared with prior trends (p < 0.001). Trends in methadone-involved overdose deaths showed a step increase starting in April 2020 both with (54.2 deaths per month; 95 % CI: 39.4-68.9) and without (51.7 deaths per month; 95 % CI: 23.4-78.0) synthetic opioid involvement (p < 0.001 for both). Among overdose deaths without synthetic opioids, the increase in methadone-involved overdose deaths accounted for 26.5 % of the increase between the 12-month periods before and after March 2020. The relative percentage increase in methadone-involved overdose deaths, both with and without synthetic opioid co-involvement, was highest among Hispanic and non-Hispanic Black individuals. CONCLUSIONS: Methadone-involved overdose deaths, both with and without other synthetic opioid co-involvement, increased during the 12-month period after March 2020, compared with prior trends. These results provide a cautionary addition to previous findings of no or limited methadone-related harms after the US regulatory changes during the COVID-19 pandemic.

Controlled Substance Prescription History among Individuals Who Died of an Accidental Opioid-Involved Drug Overdose in Rhode Island.

Background: Accidental opioid-involved overdose deaths are increasing nationally in the wake of the COVID-19 pandemic, but it is unclear if this reflects a change in populations most at risk. Objective: To determine whether the demographic characteristics and controlled substance prescription history of accidental opioid-involved drug overdose decedents in 2020 differed from prior years. Methods: We identified accidental opioid-involved overdose decedents using Rhode Island (RI) State Medical Examiner's Office data. Decedents were linked to the RI Prescription Drug Monitoring Program database. We compared demographic characteristics and prescription history by year of death. Results: From 2018 to 2020, 763 RI residents died from accidental opioid-involved overdose in RI. From 2018 to 2019, deaths decreased by 7%, but then increased by 31% from 2019 to 2020. Demographic characteristics were similar by year of death (all p > 0.05). The percentage of decedents with a prior opioid prescription and a prior benzodiazepine prescription declined from 2018 to 2020 (p < 0.01 and p = 0.03). Conclusions: We found that opioid-involved overdose deaths in RI are increasing overall, but without significant changes in demographics. While prior exposure to some controlled substances did decline over time, it is not clear if these changes reflect more responsible prescribing practices, or a more concerning pattern such as patient abandonment or decreased healthcare access. More studies are needed to better describe the current trend of increasing opioid-involved deaths while also pursuing current evidence-based interventions.

An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction.

Opioid overdose (OD) has become a leading cause of accidental death in the United States, and overdose deaths reached a record high during the COVID-19 pandemic. Combating the opioid crisis requires targeting high-need populations by identifying individuals at risk of OD. While deep learning emerges as a powerful method for building predictive models using large scale electronic health records (EHR), it is challenged by the complex intrinsic relationships among EHR data. Further, its utility is limited by the lack of clinically meaningful explainability, which is necessary for making informed clinical or policy decisions using such models. In this paper, we present LIGHTED, an integrated deep learning model combining long short term memory (LSTM) and graph neural networks (GNN) to predict patients' OD risk. The LIGHTED model can incorporate the temporal effects of disease progression and the knowledge learned from interactions among clinical features. We evaluated the model using Cerner's Health Facts database with over 5 million patients. Our experiments demonstrated that the model outperforms traditional machine learning methods and other deep learning models. We also proposed a novel interpretability method by exploiting embeddings provided by GNNs to cluster patients and EHR features respectively, and conducted qualitative feature cluster analysis for clinical interpretations. Our study shows that LIGHTED can take advantage of longitudinal EHR data and the intrinsic graph structure of EHRs among patients to provide effective and interpretable OD risk predictions that may potentially improve clinical decision support.