Key Points
Question
What has been the association between relaxing restrictions on take-home methadone doses and the number of fatal overdoses involving methadone among different racial, ethnic, and sex groups?
Findings
In this interrupted time series cohort study of 14 529 methadone-involved overdose deaths, the methadone take-home policy was associated with reduced deaths among Black and Hispanic men but did not affect deaths of Black or Hispanic women or White men or women.
Meaning
The urgency of the overdose crisis requires that national methadone policy debates and decisions address the heterogeneity of people in treatment; relaxing methadone restrictions may help some particularly at-risk groups.
Abstract
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.
This cohort study investigates racial, ethnic, and sex differences in methadone-involved overdose deaths in the United States before and after a federal policy change expanding take-home methadone doses.
Introduction
For the past 50 years, outpatient methadone treatment for opioid use disorder has been tightly governed by federal statutes and regulations, which allow only federally certified opioid treatment programs (OTPs) to dispense methadone.1 Before the COVID-19 pandemic, most patients receiving methadone were required to present in person for initial evaluations and then in person 5 to 6 days per week for observed methadone dispensing of single doses. On March 16, 2020, in response to the first wave of the pandemic, the Substance Abuse and Mental Health Services Administration (SAMHSA) issued an exemption that allowed OTPs, with state approval, to provide up to 28 days of take-home methadone for patients who were stable and 14 days for those who were less stable.2 When taken as prescribed, methadone is safe and effective; however, there is a substantial risk of overdose when more than the amount prescribed is taken or when illicit opioids, such as heroin or fentanyl, are used in addition to methadone.3
The goal of the SAMHSA policy change was to protect public health by lowering the risk of COVID-19 infections among patients and health care clinicians (ie, accommodate social distancing while supporting patient care for treatment of opioid use disorder). Results of research on the effects of the policy change are still emerging, but the weight of the evidence suggests that the policy change was associated with an increase in the number of patients receiving take-home doses and that it did not adversely affect treatment outcomes, including fatal overdoses.4,5,6,7,8,9,10,11,12 A set of proposals that will permanently ease the take-home restrictions is now being considered by SAMHSA.13 To our knowledge, only 1 study has investigated the association between relaxing methadone restrictions and fatal overdoses among different racial, ethnic, or sex groups,14 although prior research suggests a strong possibility of demographic differences in outcomes. Research has shown the following: (1) Medication options available to persons with opioid use disorder differ by neighborhood, with OTPs dispensing methadone more often located in poor and minority neighborhoods, whereas less restrictive buprenorphine treatment services are more often located in higher-income areas with a higher percentage of White residents.15,16 (2) Access to OTP services differs by sex and race, with women and Black individuals spending more days on waiting lists to enter methadone treatment.17 (3) There are logistic impediments to retention in methadone treatment for women with children and family responsibilities.18 (4) There are lower methadone dosage regimens (“underdosing”) for Black patients and pregnant individuals from racial and ethnic minority groups.19,20
Reducing barriers to methadone may have a disproportionately positive effect on these groups.21,22
In the present study, we compared methadone-involved overdose deaths before and after the March 2020 policy change among Black, Hispanic, and White male and female individuals. Collectively, the 6 groups experienced 14 112 of the 14 529 fatal methadone-involved drug overdoses (97.1%).
Methods
Data Sources and Study Population
In this cohort study with interrupted time series analysis, we used US Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (2018 to 2021 final data and 2022 [January to June] provisional mortality data); data are from the multiple cause of death files as compiled from data provided by the 57 vital statistics jurisdictions through the Vital Statistics Cooperative Program.23 Drug overdose deaths had International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) codes X40 to X44, X60 to X64, X85, and Y10 to Y14 for underlying cause of death; methadone-involved deaths had ICD-10 code T40.3. The cause-of-death determination is typically made by a coroner or medical examiner.24
We extracted monthly drug overdose deaths that involved methadone from January 1, 2018, to June 30, 2022, for 6 demographic groups: Hispanic men and women (racial categories Black and White), non-Hispanic Black men and women, and non-Hispanic White men and women (eAppendix 1 in Supplement 1). The death certificate data on age, sex, race, and ethnicity are usually supplied by a funeral director, often as informed by the next of kin.25
We used interrupted time series analysis (ITSA) to model trends in monthly drug overdose deaths for each demographic group26 (eAppendix 1 in Supplement 1 for model specifications). A significant difference in the slopes before and after the take-home policy change would suggest that the policy change was associated with either an increase or decrease in methadone-related overdose deaths. With the 2022 ITSA study by Jones et al as our basis,8 we hypothesized that the policy change would not be associated with changes in slope. We also anticipated an implementation lag time of 4 to 6 weeks, even for the “early adopters” of the policy change. Because our postintervention time series ran 27 months, this lag time would not obscure the longer-term changes in the trend lines of methadone-involved overdose deaths. We did not have hypotheses regarding differences in the slope changes among the demographic groups. Therefore, our findings with respect to racial, ethnic, and sex groups should be considered exploratory.27
Given the expanding role of fentanyl in the overdose crisis (eFigure 2 in Supplement 1),28 we conducted a stratified analysis to control for the co-occurrence of synthetic opioids, mainly fentanyl and its analogs. Our aim was to determine whether the associations between the take-home policy and fatal methadone overdose were modified when separately estimated for (1) deaths that involved methadone but not fentanyl and (2) deaths that involved both methadone and fentanyl.
We also assessed whether monthly nonmethadone overdose deaths could provide a secular trend comparison, which would help assess whether a change in the trend line of methadone-involved deaths was associated with the take-home policy change or could be attributed to other factors affecting trends in drug overdose deaths generally. Nonmethadone deaths satisfied the 2 a priori criteria for a secular trend variable: a theory-based association between methadone deaths (ie, methadone and nonmethadone overdose deaths may be subject to the same broader social forces, although the populations may differ in some respects) and the absence of a theory-based association with the policy change (ie, trends in nonmethadone overdose deaths are not dependent on a change in the methadone take-home policy). A third criterion was strictly empirical: were methadone and nonmethadone overdose deaths closely or moderately correlated before the policy change? If not correlated in the preintervention period, then nonmethadone overdose deaths could not provide a basis for a postintervention comparison. Recent studies have used nonmethadone overdose deaths for secular trend purposes, but without providing empirical justification.8,14
Because this study used publicly available, deidentified data, the University of Pennsylvania institutional review board determined that approval and informed consent were not needed. The study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.
Statistical Analysis
We used totals and percentages to describe overdose mortality by demographic category and mean values to summarize observations per data point. We used the Stata module ITSA to estimate the preintervention and postintervention slopes, the change in mortality levels, and the change in slopes. To adjust for autocorrelation, we used the Akaike information criterion for the lag order selection. The ITSA specifies the maximum lag to be considered in the autocorrelation structure using Newey-West SEs.26 We used Spearman ρ to measure the preintervention secular trend correlations. We considered 2-sided P < .05 statistically significant and used Stata, version 17.0 (StataCorp LLC) for data analysis. We conducted the data analysis from February 18, 2023, to February 23, 2023.
Results
From January 1, 2018, to June 30, 2022, there were 406 484 drug overdose deaths in the US; 388 783 (95.6%) occurred in the study’s 6 demographic groups (Black men, 48 184; Black women, 18 489; Hispanic men, 34 686; Hispanic women, 9616; White men, 183 996; and White women, 93 812). During this period, methadone-involved overdose deaths totaled 14 529, or 3.6% of all drug overdose deaths. Of the methadone-involved deaths, 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).
US Total
Before April 2020, methadone-involved overdose deaths were decreasing (preintervention slope, −1.36 [95% CI, −2.68 to −0.51]). In April 2020, methadone-involved overdose deaths increased by 115.18 deaths (95% CI, 79.85-150.51 deaths), estimated by subtracting the end point of the preintervention trend line from the starting point of the postintervention trend line. Monthly methadone-involved overdose deaths continued to decrease after April 2020 (postintervention slope, −3.07 [95% CI, −4.71 to –1.44]). The difference between the slopes before and after April 2020 was –1.71 deaths per month (95% CI, −3.84 to 0.42 deaths per month) (Figure, A; Table).
Figure. Monthly Methadone Overdose Deaths by Demographic Group and Year.

The circles are actual deaths, the orange trend lines are interrupted time series estimates, and the dotted vertical line indicates the start of the take-home policy. Because of the limited number of observations per month, estimates for Black and Hispanic women were based on bimonthly data (n = 27 rather than n = 54).
Table. Interrupted Times Series Analysis Estimates for Monthly Overdose Deaths Involving Methadone, January 2018 to June 2022.
| Parameter | Estimate (95% CI) | P value |
|---|---|---|
| US total | ||
| Monthly trend (slope) before the take-home policy change | −1.36 (−2.68 to −0.51) | .04 |
| Change in number of overdose deaths at time of policy change | 115.18 (79.85 to 150.51) | <.001 |
| Monthly trend (slope) after the policy change | −3.07 (−4.71 to −1.44) | <.001 |
| Difference between slopes (before minus after) | −1.71 (−3.84 to 0.42) | .11 |
| Black men | ||
| Monthly trend (slope) before the take-home policy change | 0.12 (−0.13 to 0.37) | .33 |
| Change in number of overdose deaths at time of policy change | 15.41 (9.69 to 21.13) | <.001 |
| Monthly trend (slope) after the policy change | −0.42 (−0.71 to −0.14) | .004 |
| Difference between slopes (before minus after) | −0.55 (−0.95 to −0.15) | .008 |
| Black womena | ||
| Monthly trend (slope) before the take-home policy change | 0.26 (−0.45 to 0.97) | .46 |
| Change in number of overdose deaths at time of policy change | 6.58 (0.44 to 12.71) | .04 |
| Monthly trend (slope) after the policy change | −0.01 (−0.57 to 0.54) | .97 |
| Difference between slopes (before minus after) | −0.27 (−1.13 to 0.59) | .52 |
| Hispanic men | ||
| Monthly trend (slope) before the take-home policy change | 0.09 (−0.06 to 0.25) | .23 |
| Change in number of overdose deaths at time of policy change | 11.88 (8.54 to 15.22) | <.001 |
| Monthly trend (slope) after the policy change | −0.33 (−0.51 to −0.15) | .001 |
| Difference between slopes (before minus after) | −0.42 (−0.68 to −0.17) | .002 |
| Hispanic womena | ||
| Monthly trend (slope) before the take-home policy change | −0.49 (−1.11 to 0.12) | .11 |
| Change in number of overdose deaths at time of policy change | 10.04 (4.63 to 15.44) | .001 |
| Monthly trend (slope) after the policy change | −0.20 (−0.66 to 0.25) | .37 |
| Difference between slopes (before minus after) | 0.29 (−0.46 to 1.04) | .43 |
| White men | ||
| Monthly trend (slope) before the take-home policy change | −1.08 (−1.59 to −0.57) | <.001 |
| Change in number of overdose deaths at time of policy change | 46.46 (29.04 to 63.89) | <.001 |
| Monthly trend (slope) after the policy change | −1.17 (−1.97 to −0.36) | .005 |
| Difference between slopes (before minus after) | −0.08 (−1.05 to 0.88) | .86 |
| White women | ||
| Monthly trend (slope) before the take-home policy change | −0.46 (−1.08 to 0.16) | .14 |
| Change in number of overdose deaths at time of policy change | 27.64 (12.71 to 42.57) | .001 |
| Monthly trend (slope) after the policy change | −0.89 (−1.41 to −0.36) | .001 |
| Difference between slopes (before minus after) | −0.43 (−1.26 to 0.40) | .31 |
Because of the limited number of observations per month, estimates for Black and Hispanic women were based on bimonthly data (n = 27 rather than n = 54).
Black Men
Before April 2020, ITSA-estimated monthly methadone-involved overdose deaths were stable; that is, there was no significant monthly increase or decrease (preintervention slope, 0.12 [95% CI, −0.13 to 0.37]). In April 2020, methadone-involved overdose deaths increased by 15.41 deaths (95% CI, 9.69-21.13 deaths). Monthly methadone-involved overdose deaths decreased after April 2020 (postintervention slope, −0.42 [95% CI, −0.71 to −0.14]). The difference between the slopes before and after April 2020 was significant (−0.55 [95% CI, −0.95 to −0.15]) (Figure, B; Table).
Black Women
Before April 2020, methadone-involved overdose deaths were stable (preintervention slope, 0.26 [95% CI, −0.45 to 0.97]). In April 2020, methadone-involved overdose deaths increased by 6.58 deaths (95% CI, 0.44-12.71 deaths). Monthly methadone-involved overdose deaths remained stable after April 2020 (postintervention slope, −0.01 [95% CI, −0.57 to 0.54]). The before and after April 2020 slopes did not differ significantly (−0.27 [95% CI, −1.13 to 0.59]) (Figure, C; Table).
Hispanic Men
Before April 2020, methadone-involved overdose deaths were stable (preintervention slope, 0.09 [95% CI, −0.06 to 0.25]). In April 2020, methadone-involved overdose deaths increased by 11.88 deaths (95% CI, 8.54-15.22 deaths). Monthly methadone-involved overdose deaths decreased after April 2020 (postintervention slope, −0.33 [95% CI, −0.51 to −0.15]). The before and after April 2020 slopes differed significantly (−0.42 [95% CI, −0.68 to −0.17]) (Figure, D; Table).
Hispanic Women
Before April 2020, methadone-involved overdose deaths were decreasing slightly (preintervention slope, –0.49 [95% CI, −1.11 to 0.12]). In April 2020, methadone-involved overdose deaths increased by 10.04 deaths (95% CI, 4.63-15.44 deaths). Monthly methadone-involved overdose deaths were stable after April 2020 (postintervention slope, −0.20 [95% CI, −0.66 to 0.25]). The before and after April 2020 slopes did not differ significantly (0.29 [95% CI, −0.46 to 1.04]) (Figure, E; Table).
White Men
Before April 2020, methadone-involved overdose deaths were decreasing (preintervention slope, −1.08 [95% CI, −1.59 to −0.57]). In April 2020, methadone-involved overdose deaths increased by 46.46 deaths (95% CI, 29.04-63.89 deaths). Monthly methadone-involved overdose deaths continued to decrease after April 2020 (postintervention slope, −1.17 [95% CI, −1.97 to –0.36]). The before and after April 2020 slopes were similar (–0.08 [95% CI, −1.05 to 0.88]) (Figure, F; Table).
White Women
Before April 2020, methadone-involved overdose deaths were stable (preintervention slope, −0.46 [95% CI, −1.08 to 0.16]). In April 2020, methadone-involved overdose deaths increased by 27.64 deaths (95% CI, 12.71-42.57 deaths). Monthly methadone-involved overdose deaths decreased after April 2020 (postintervention slope, −0.89 [95% CI, −1.41 to –0.36]). The before and after April 2020 slopes were similar (–0.43 [95% CI, −1.26 to 0.40]) (Figure, G; Table). The regression estimates are summarized in the Table.
Stratification by Coinvolvement of Synthetic Opioids (Mostly Fentanyl)
The results of the fentanyl stratification analysis are presented in the eTable, eFigure 1, and eAppendix 2 in Supplement 1. As with the unstratified analysis, only Black and Hispanic men had a significant change in the slope of monthly overdose deaths, both in the subset of overdose deaths that coinvolved fentanyl (−0.52 [95% CI, −0.94 to –0.10]) and the subset that did not (−0.45 [95% CI, −0.80 to –0.10]). Therefore, the decrease in slope after the policy change cannot be attributed to fentanyl coinvolvement.
Secular Trend Analysis
In the secular trend analysis, monthly nonmethadone overdose deaths were uncorrelated with monthly methadone overdose deaths during the preintervention period in each of the 6 demographic groups and overall (Black men: Spearman r = 0.28, P = .15; Black women: r = 0.09, P = .66; Hispanic men: r = 0.09, P = .65; Hispanic women: r = –0.31, P = .11; White men: r = –0.25, P = .20; White women: r = 0.33, P = .09; and all persons: r = –0.13, P = .53).
Discussion
Methadone-related deaths spiked in the US during the first wave of the COVID-19 pandemic29,30 in spring 2020 and then gradually decreased during the next 2 years; SAMHSA eased the restrictions on take-home doses as the first wave of the pandemic was starting to peak. For Black women, Hispanic women, White men, and White women, the postintervention trend lines were a continuation of the preintervention trends. However, there was an abrupt change for Black and Hispanic men. The slightly increasing number of methadone-involved deaths per month before the policy change became a sharply decreasing slope afterward (Figure), which suggests that the take-home policy may have particularly benefited these minoritized groups.
The overall decrease in methadone-involved drug deaths after the intervention does not appear to have been a function of fewer people taking methadone. In their study of buprenorphine and methadone supplies in the US, Chen and colleagues31 observed no substitution of buprenorphine treatment for methadone treatment during either the preintervention or postintervention period. Moreover, annual OTP orders for methadone, measured in grams, were relatively stable during the 4-year study period (2018, 11 368 111 g; 2019, 13 114 262 g; 2020, 13 116 235 g; 2021, 12 367 610 g; and January to June 2022, 6 154 552 g).32 But this is piecemeal evidence. Constructing a precise denominator for a methadone treatment overdose rate (eg, person-days of methadone use in OTPs) would require standardized national record keeping on the number of persons taking methadone for opioid use disorder and their duration of treatment.
In a stratification analysis, we estimated whether the associations between the take-home policy and fatal methadone overdose were modified when separately estimated for (1) deaths that involved methadone but not fentanyl and (2) deaths that involved methadone and fentanyl. We found that only Black and Hispanic men had a significant change (decrease) in the slope of monthly overdose deaths under both conditions. Thus, the decrease in slope after the policy change among Black and Hispanic men cannot be attributed to fentanyl. We also found that the preintervention slopes of monthly methadone deaths were positive when fentanyl was involved and negative when it was not. Similarly, each of the postintervention slopes was more positive when fentanyl was involved compared with the stratum without fentanyl. This pattern suggests that fentanyl was associated with an increase in the number of methadone-involved deaths both before and after the policy change across all demographic groups, but it does not appreciably strengthen, mitigate, or make conditional the associations (or lack of associations) between the policy change and methadone-involved overdose deaths.
The present study addressed several notable weaknesses in previous research. Jones et al,8 using ITSA to model the percentage of all drug overdose deaths that involved methadone, found that the trend slopes were similar before and after March 2020 and concluded that the evidence was consistent with permanently expanding the take-home methadone policy. However, their study did not empirically justify the use of nonmethadone overdose deaths as a secular trend variable (in a reanalysis of their time series, we found no correlation between nonmethadone and methadone overdose deaths during the preintervention period: Spearman r = 0.08; P = .79). Their study also did not stratify by demographic group, which effectively masked important differences in slope changes. In contrast to the results of Jones et al,8 Kleinman and Sanches14 reported that methadone-involved overdose deaths increased after the policy change, prompting the authors to warn against permanently relaxing the take-home regulations until the impact of the policy has been better clarified. In examining racial and ethnic differences in methadone-involved mortality, Kleinman and Sanches14 found that the number of individuals with methadone-involved deaths increased in each group (overall by 39%) between the 12-month periods before and after March 2020, with the largest increases among Hispanic (70%) and non-Hispanic Black individuals (57%). However, when assessing trends, their year-over-year analysis did not control for the step increase in mortality level that occurred in the early spring of 2020. The authors assumed that the step increase could be attributed to the change in methadone regulations, yet the increase in level also has been found in drug overdose deaths that did not involve methadone8,33,34,35 and in related domains, such as alcohol use disorder–associated deaths.36,37,38 Disruptions related to COVID-19 provide a more intuitive and parsimonious explanation for the step increases.39
In summary, we hypothesized that the policy change would not be associated with methadone-related overdose deaths. Although this was true for Black, Hispanic, and White women and for White men, we found fewer fatalities in Black and Hispanic men than expected. We did not expect to find differential associations based on demographic group and can only conjecture on the reason for these results: that having to daily report to an OTP is a distressing and demeaning experience for Black and Hispanic men who are already marginalized and continually exposed to systems of surveillance, stigma, alienation, and punishment. The additional take-home doses provided a sense of normalcy and dignity that was missing with frequent attendance at the OTP.40
Limitations
This study has limitations. First, the lack of an external comparison, either a control group (persons taking methadone for opioid use disorder who were not exposed to the policy change) or a secular trend variable, precludes the drawing of causal inferences from the study data.41 As noted, the OTP take-home policy change happened in the context of concurrent trends (eg, unemployment and social isolation due to COVID-19), economic policy changes (eg, extended unemployment compensation, economic stimulus checks, and eviction moratoriums),38 and other policy changes (eg, increased use of telemedicine) that could have affected drug use and treatment for people with opioid use disorder. Second, analytic insight would be gained by relating the number of methadone-involved overdose deaths to the number of persons in methadone treatment each month by demographic group, but these data or reasonable proxies are not publicly available. Third, this study could not distinguish whether the individuals who died from methadone-involved overdoses received the methadone through OTPs (approximately 90% of all methadone supplies in the US are distributed to OTPs32), from pharmacy-dispensed prescriptions for pain (approximately 9%), or from other sources, including diverted methadone. Fourth, approximately 5% of death certificates do not list the specific drugs involved in the overdose.8 Fifth, the 2022 provisional mortality data may minimally underestimate overdose deaths because of delayed reporting.42
Conclusions
In this interrupted time series cohort study of monthly methadone-involved overdose deaths, the take-home policy was associated with reduced deaths for Black and Hispanic men. However, no significant association was observed for Black or Hispanic women or White men or women. Regardless of the reason, the changes in slopes clearly display an association with race and ethnicity. The urgency of the drug overdose crisis requires that our national methadone policy debates and decisions attend to the heterogeneity of people in treatment.
eAppendix 1. eMethods.
eAppendix 2. Stratification by Synthetic Opioids (Primarily Fentanyl and Analogs).
eTable. Interrupted Times Series Analysis Estimates of the Difference Between Slopes in Monthly Methadone-Involved Overdose Deaths Before and After the Take Home Policy Change, Stratified by Synthetic Opioids (Mostly Fentanyl), January 2018 – June 2022
eFigure 1. Difference Between Slopes in Monthly Methadone-Involved Overdose Deaths Before and After the Take Home Policy Change, Stratified by Synthetic Opioids (Mostly Fentanyl and Analogs), January 2018 – June 2022
eFigure 2. Percent of Methadone-Involved Deaths That Also Involved Synthetic Opioids (Mostly Fentanyl and Analogs).
eReferences.
Data Sharing Statement
References
- 1.Dooling BCE, Stanley L. Extending pandemic flexibilities for opioid use disorder treatment: authorities and methods. Accessed April 18, 2022. https://scholarship.law.umn.edu/headnotes/81
- 2.Substance Abuse and Mental Health Services Administration. Methadone take-home flexibilities extension guidance. Department of Health and Human Services. Updated March 3, 2022. Accessed March 19, 2023. https://www.samhsa.gov/medication-assisted-treatment/statutes-regulations-guidelines/methadone-guidance
- 3.Substance Abuse and Mental Health Services Administration . Methadone. Department of Health and Human Services. Updated January 25, 2023. Accessed March 2, 2023. https://www.samhsa.gov/medications-substance-use-disorders/medications-counseling-related-conditions/methadone
- 4.Hoffman KA, Foot C, Levander XA, et al. Treatment retention, return to use, and recovery support following COVID-19 relaxation of methadone take-home dosing in two rural opioid treatment programs: a mixed methods analysis. J Subst Abuse Treat. 2022;141:108801. doi: 10.1016/j.jsat.2022.108801 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Brothers S, Viera A, Heimer R. Changes in methadone program practices and fatal methadone overdose rates in Connecticut during COVID-19. J Subst Abuse Treat. 2021;131:108449. doi: 10.1016/j.jsat.2021.108449 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Amram O, Amiri S, Panwala V, Lutz R, Joudrey PJ, Socias E. The impact of relaxation of methadone take-home protocols on treatment outcomes in the COVID-19 era. Am J Drug Alcohol Abuse. 2021;47(6):722-729. doi: 10.1080/00952990.2021.1979991 [DOI] [PubMed] [Google Scholar]
- 7.Welsh C, Doyon S, Hart K. Methadone exposures reported to poison control centers in the United States following the COVID-19–related loosening of federal methadone regulations. Int J Drug Policy. 2022;102:103591. doi: 10.1016/j.drugpo.2022.103591 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Jones CM, Compton WM, Han B, Baldwin G, Volkow ND. Methadone-involved overdose deaths in the US before and after federal policy changes expanding take-home methadone doses from opioid treatment programs. JAMA Psychiatry. 2022;79(9):932-934. doi: 10.1001/jamapsychiatry.2022.1776 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Krawczyk N, Maniates H, Hulsey E, et al. Shifting medication treatment practices in the COVID-19 pandemic: a statewide survey of Pennsylvania opioid treatment programs. J Addict Med. 2022;16(6):645-652. doi: 10.1097/ADM.0000000000000981 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Rezaeiahari M, Fairman BJ. Impact of COVID-19 on the characteristics of opioid overdose deaths in Arkansas. Int J Drug Policy. 2022;109:103836. doi: 10.1016/j.drugpo.2022.103836 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Levander XA, Pytell JD, Stoller KB, Korthuis PT, Chander G. COVID-19–related policy changes for methadone take-home dosing: a multistate survey of opioid treatment program leadership. Subst Abus. 2022;43(1):633-639. doi: 10.1080/08897077.2021.1986768 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Krawczyk N, Rivera BD, Levin E, Dooling BCE. Synthesising evidence of the effects of COVID-19 regulatory changes on methadone treatment for opioid use disorder: implications for policy. Lancet Public Health. 2023;8(3):e238-e246. doi: 10.1016/S2468-2667(23)00023-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Substance Abuse and Mental Health Services Administration, Department of Health and Human Services . Medications for the treatment of opioid use disorder. Accessed February 3, 2023. https://www.govinfo.gov/content/pkg/FR-2022-12-16/pdf/2022-27193.pdf
- 14.Kleinman RA, Sanches M. Methadone-involved overdose deaths in the United States before and during the COVID-19 pandemic. Drug Alcohol Depend. 2023;242:109703. doi: 10.1016/j.drugalcdep.2022.109703 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Hansen H, Siegel C, Wanderling J, DiRocco D. Buprenorphine and methadone treatment for opioid dependence by income, ethnicity and race of neighborhoods in New York City. Drug Alcohol Depend. 2016;164:14-21. doi: 10.1016/j.drugalcdep.2016.03.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Goedel WC, Shapiro A, Cerdá M, Tsai JW, Hadland SE, Marshall BDL. Association of racial/ethnic segregation with treatment capacity for opioid use disorder in counties in the United States. JAMA Netw Open. 2020;3(4):e203711. doi: 10.1001/jamanetworkopen.2020.3711 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Marsh JC, Amaro H, Kong Y, Khachikian T, Guerrero E. Gender disparities in access and retention in outpatient methadone treatment for opioid use disorder in low-income urban communities. J Subst Abuse Treat. 2021;127:108399. doi: 10.1016/j.jsat.2021.108399 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Guerrero E, Amaro H, Kong Y, Khachikian T, Marsh JC. Gender disparities in opioid treatment progress in methadone versus counseling. Subst Abuse Treat Prev Policy. 2021;16(1):52. doi: 10.1186/s13011-021-00389-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Rosenthal EW, Short VL, Cruz Y, et al. Racial inequity in methadone dose at delivery in pregnant women with opioid use disorder. J Subst Abuse Treat. 2021;131:108454. doi: 10.1016/j.jsat.2021.108454 [DOI] [PubMed] [Google Scholar]
- 20.D’Aunno T, Park SE, Pollack HA. Evidence-based treatment for opioid use disorders: a national study of methadone dose levels, 2011-2017. J Subst Abuse Treat. 2019;96:18-22. doi: 10.1016/j.jsat.2018.10.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Joudrey PJ, Bart G, Brooner RK, et al. Research priorities for expanding access to methadone treatment for opioid use disorder in the United States: a National Institute on Drug Abuse Center for Clinical Trials Network Task Force report. Subst Abus. 2021;42(3):245-254. doi: 10.1080/08897077.2021.1975344 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Volkow N. Access to addiction services differs by race and gender. National Institute on Drug Abuse. Published July 16, 2019. Accessed November 6, 2022. https://nida.nih.gov/about-nida/noras-blog/2019/07/access-to-addiction-services-differs-by-race-gender
- 23.Centers for Disease Control and Prevention . National Vital Statistics System, CDC WONDER online database. Accessed February 21, 2023. http://wonder.cdc.gov
- 24.Brooks EG, Reed KD. Principles and pitfalls: a guide to death certification. Clin Med Res. 2015;13(2):74-82. doi: 10.3121/cmr.2015.1276 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Arias E, Heron M, Hakes J; National Center for Health Statistics; US Census Bureau . The validity of race and Hispanic-origin reporting on death certificates in the United States: an update. Vital Health Stat 2. 2016;(172):1-21. [PubMed] [Google Scholar]
- 26.Linden A. Conducting interrupted time-series analysis for single- and multiple-group comparisons. Stata J. 2015;15(2):480-500. doi: 10.1177/1536867X1501500208 [DOI] [Google Scholar]
- 27.Bernal JL, Cummins S, Gasparrini A. Interrupted time series regression for the evaluation of public health interventions: a tutorial. Int J Epidemiol. 2017;46(1):348-355. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Han B, Einstein EB, Jones CM, Cotto J, Compton WM, Volkow ND. Racial and ethnic disparities in drug overdose deaths in the US during the COVID-19 pandemic. JAMA Netw Open. 2022;5(9):e2232314. doi: 10.1001/jamanetworkopen.2022.32314 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Walters SM, Bolinski RS, Almirol E, et al. Structural and community changes during COVID-19 and their effects on overdose precursors among rural people who use drugs: a mixed-methods analysis. Addict Sci Clin Pract. 2022;17(1):24. doi: 10.1186/s13722-022-00303-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Mason M, Welch SB, Arunkumar P, Post LA, Feinglass JM. Notes from the Field: Opioid Overdose Deaths Before, During, and After an 11-Week COVID-19 Stay-at-Home Order - Cook County, Illinois, January 1, 2018-October 6, 2020. MMWR Morb Mortal Wkly Rep. 2021;70(10):362-363. doi: 10.15585/mmwr.mm7010a3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Chen AY, Powell D, Stein BD. Changes in buprenorphine and methadone supplies in the US during the COVID-19 pandemic. JAMA Netw Open. 2022;5(7):e2223708. doi: 10.1001/jamanetworkopen.2022.23708 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.US Department of Justice, Drug Enforcement Administration, Diversion Control Division . ARCOS retail drug summary reports, reporting periods 2018, 2019, 2020, 2021, 2022. Accessed February 20, 2023. https://www.deadiversion.usdoj.gov/arcos/retail_drug_summary/
- 33.Friedman J, Akre S. COVID-19 and the drug overdose crisis: uncovering the deadliest 10 months in the United States, January–July 2020. Am J Public Health. 2021;111(7):1284-1291. doi: 10.2105/AJPH.2021.306256 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Frank D, Krawczyk N, Arshonsky J, Bragg MA, Friedman SR, Bunting AM. Covid-19–related changes to drug-selling networks and their effects on people who use illicit opioids. J Stud Alcohol Drugs. Published September 12, 2022. doi: 10.15288/jsad.21-00438 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Stringfellow EJ, Lim TY, DiGennaro C, Hasgul Z, Jalali MS. Enumerating contributions of fentanyls and other factors to the unprecedented 2020 rise in opioid overdose deaths: model-based analysis. Proc Natl Acad Sci U S A Nexus. 2023;2(4):pgad064. doi: 10.1093/pnasnexus/pgad064 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Yeo YH, Zou B, Cheung R, Nguyen MH. Increased mortality of patients with alcohol-related liver diseases during the COVID-19 pandemic in the United States. J Intern Med. 2022;292(5):837-839. doi: 10.1111/joim.13545 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Yeo YH, He X, Ting PS, et al. Evaluation of trends in alcohol use disorder–related mortality in the US before and during the COVID-19 pandemic. JAMA Netw Open. 2022;5(5):e2210259. doi: 10.1001/jamanetworkopen.2022.10259 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Mulligan CB. Lethal unemployment bonuses? substitution and income effects on substance abuse, 2020-21. Published February 2022. Updated February 2022. Accessed October 17, 2022. https://www.nber.org/papers/w29719
- 39.Cowan E, Khan MR, Shastry S, Edelman EJ. Conceptualizing the effects of the COVID-19 pandemic on people with opioid use disorder: an application of the social ecological model. Addict Sci Clin Pract. 2021;16(1):4. doi: 10.1186/s13722-020-00210-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Peterkin A, Davis CS, Weinstein Z. Permanent methadone treatment reform needed to combat the opioid crisis and structural racism. J Addict Med. 2022;16(2):127-129. doi: 10.1097/ADM.0000000000000841 [DOI] [PubMed] [Google Scholar]
- 41.Baicker K, Svoronos T. Testing the validity of the single interrupted time series design. Published July 2019. Accessed November 1, 2022. https://www.nber.org/papers/w26080
- 42.Slavova S, Delcher C, Buchanich JM, Bunn TL, Goldberger BA, Costich JF. Methodological complexities in quantifying rates of fatal opioid-related overdose. Curr Epidemiol Rep. 2019;6(2):263-274. doi: 10.1007/s40471-019-00201-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
eAppendix 1. eMethods.
eAppendix 2. Stratification by Synthetic Opioids (Primarily Fentanyl and Analogs).
eTable. Interrupted Times Series Analysis Estimates of the Difference Between Slopes in Monthly Methadone-Involved Overdose Deaths Before and After the Take Home Policy Change, Stratified by Synthetic Opioids (Mostly Fentanyl), January 2018 – June 2022
eFigure 1. Difference Between Slopes in Monthly Methadone-Involved Overdose Deaths Before and After the Take Home Policy Change, Stratified by Synthetic Opioids (Mostly Fentanyl and Analogs), January 2018 – June 2022
eFigure 2. Percent of Methadone-Involved Deaths That Also Involved Synthetic Opioids (Mostly Fentanyl and Analogs).
eReferences.
Data Sharing Statement
