IMPORTANCE: Stimulants are increasingly prescribed for US adults. Whether such prescribing is associated with misuse and prescription stimulant use disorder (PSUD) is less understood. OBJECTIVES: To examine (1) sex- and age-specific trends in the number of persons dispensed stimulants and trends in dispensed prescription stimulants by prescriber specialty in 2019 through 2022; (2) prevalence of misuse and PSUD by use of prescription amphetamine-type stimulants (hereafter referred to as amphetamines) and methylphenidate; and (3) PSUD prevalence and sociodemographic and behavioral health correlates among persons using prescription stimulants with and without prescription stimulant misuse. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional survey study used the 2019-2022 IQVIA Total Patient Tracker and National Prescription Audit New to Brand databases and the 2021-2022 National Surveys on Drug Use and Health (NSDUH) (community-dwelling 18- to 64-year-old individuals). Data analysis was performed from March to April 2024. EXPOSURE: Past-year use of prescription stimulants. MAIN OUTCOMES AND MEASURES: PSUD using DSM-5 criteria. RESULTS: Of the sampled 83 762 adults aged 18 to 64 years, 33.8% (unweighted) were aged 18 to 25 years, 53.0% (unweighted) were aged 26 to 49 years, and 56.0% (unweighted) were women. Among those using prescription stimulants, 25.3% (95% CI, 23.8%-26.8%) reported misuse, and 9.0% (95% CI, 8.0%-10.0%) had PSUD. Among those with PSUD, 72.9% (95% CI, 68.3%-77.6%) solely used their own prescribed stimulants, 87.1% (95% CI, 82.3%-90.8%) used amphetamines, 42.5% (95% CI, 36.6%-48.5%) reported no misuse, and 63.6% (95% CI, 56.8%-69.8%) had mild PSUD. Individuals using amphetamines, compared with those using methylphenidate, had higher prevalence ratios of misuse (3.1 [95% CI, 2.2-4.3]) and PSUD (2.2 [95% CI, 1.3-3.8]). The largest increase in the number of individuals dispensed prescription stimulants was among women aged 35 to 64 years, from 1.2 million in quarter 1 of 2019 to 1.7 million in quarter 4 of 2022 (average quarterly percentage change, 2.6% [95% CI, 2.1%-3.1%]). The prevalence of prescription stimulant misuse was lower among women aged 35 to 64 years using these medications (13.7% [95% CI, 11.1%-16.8%]) than other sex- and age-specific subgroups (ranging from 22.0% [95% CI, 17.9%-26.7%] for men aged 35-64 years to 36.8% [95% CI, 32.6%-41.2%] for women aged 18-25 years). CONCLUSIONS AND RELEVANCE: High prevalence of prescription stimulant misuse and PSUD (regardless of misuse status) suggests the importance of ensuring clinically appropriate use and of screening for and treating PSUD among all adults prescribed stimulants, especially those using amphetamines. Findings may suggest potential progress in addressing the mental health care gap for middle-aged women and the need for evidence-based clinical guidance and training on benefits and risks of prescription stimulants for adults.

Objective: We examined prescription related opioid use disorder (POUD) prevalence, individual symptoms, severity, characteristics, and treatment by prescription opioid misuse status among adults with prescription opioid use. Methods: Cross-sectional study using nationally representative data from 47,291 adults aged ≥18 years who participated in the 2021 National Survey on Drug Use and Health. Past-year POUD used DSM-5 criteria. Results: Among US adults with past-year prescription opioid use, 12.1% (95% CI, 11.1%-13.1%) misused prescription opioids, and 7.0% (95% CI, 6.2%-8.9%) had POUD. Among adults with POUD, 62.0% (95% CI, 56.7%-67.2%) reported no prescription opioid misuse, including 49.1% (95% CI, 43.5%-54.7%) with mild POUD, 11.0% (95% CI, 6.5%-15.4%) with moderate POUD, and 1.9% (95% CI, 0.6%-3.2%) with severe POUD. Prevalence of POUD was 4.5 times higher (prevalence ratio = 4.5, 95% CI, 3.6-5.6) among those reporting prescription opioid misuse (22.0%, 95% CI, 18.6%-25.8%) than those reporting use without misuse (4.9%, 95% CI, 4.2%-5.7%). Among adults reporting prescription opioid use without misuse, high POUD prevalence was found for those with ≥3 emergency department visits (16.4%, 95% CI, 11.5%-23.0%), heroin use/use disorder (17.1%, 95% CI, 5.2%-43.8%), prescription sedative/ tranquilizer use disorder (36.2%, 95% CI, 23.6%-51.1%), and prescription stimulant use disorder (21.8%, 95% CI, 11.0%-38.7%). Conclusions: Moderate-to-severe POUD is more frequent among adults who report misusing prescription opioids. However, 62% of adults with POUD do not report prescription opioid misuse, suggesting that adults who are treated with prescription opioids and report no misuse could be at risk for developing POUD. Results highlight the need to screen for and treat POUD among adults taking prescription opioids regardless of whether they report prescription opioid misuse.

In 2022, 81,806 opioid-involved overdose deaths were reported in the United States, more than in any previous year. Medications for opioid use disorder (OUD), particularly buprenorphine and methadone, substantially reduce overdose-related and overall mortality. However, only a small proportion of persons with OUD receive these medications. Data from the 2022 National Survey on Drug Use and Health were applied to a cascade of care framework to estimate and characterize U.S. adult populations who need OUD treatment, receive any OUD treatment, and receive medications for OUD. In 2022, 3.7% of U.S. adults aged ≥18 years needed OUD treatment. Among these, only 25.1% received medications for OUD. Most adults who needed OUD treatment either did not perceive that they needed it (42.7%) or received OUD treatment without medications for OUD (30.0%). Compared with non-Hispanic Black or African American and Hispanic or Latino adults, higher percentages of non-Hispanic White adults received any OUD treatment. Higher percentages of men and adults aged 35-49 years received medications for OUD than did women and younger or older adults. Expanded communication about the effectiveness of medications for OUD is needed. Increased efforts to engage persons with OUD in treatment that includes medications are essential. Clinicians and other treatment providers should offer or arrange evidence-based treatment, including medications, for patients with OUD. Pharmacists and payors can work to make these medications available without delays.

IMPORTANCE: Recognizing and providing services to individuals at highest risk for drug overdose are paramount to addressing the drug overdose crisis. OBJECTIVE: To examine receipt of medications for opioid use disorder (MOUD), naloxone, and behavioral health services in the 12 months after an index nonfatal drug overdose and the association between receipt of these interventions and fatal drug overdose. DESIGN, SETTING, AND PARTICIPANTS: This cohort study was conducted in the US from January 2020 to December 2021 using claims, demographic, mortality, and other data from the Centers for Medicare & Medicaid Services, the Centers for Disease Control and Prevention, and other sources. The cohort comprised Medicare fee-for-service beneficiaries aged 18 years or older with International Statistical Classification of Diseases, Tenth Revision, Clinical Modification codes for a nonfatal drug overdose. Data analysis was performed from February to November 2023. EXPOSURES: Demographic and clinical characteristics, substance use disorder, and psychiatric comorbidities. MAIN OUTCOMES AND MEASURES: Receipt of MOUD, naloxone, and behavioral health services as well as subsequent nonfatal and fatal drug overdoses. RESULTS: The cohort consisted of 136 762 Medicare beneficiaries (80 140 females [58.6%]; mean (SD) age of 68.2 [15.0] years) who experienced an index nonfatal drug overdose in 2020. The majority of individuals had Hispanic (5.8%), non-Hispanic Black (10.9%), and non-Hispanic White (78.8%) race and ethnicity and lived in metropolitan areas (78.9%). In the 12 months after their index nonfatal drug overdose, 23 815 beneficiaries (17.4%) experienced at least 1 subsequent nonfatal drug overdose and 1323 (1.0%) died of a fatal drug overdose. Opioids were involved in 72.2% of fatal drug overdoses. Among the cohort, 5556 (4.1%) received any MOUD and 8530 (6.2%) filled a naloxone prescription in the 12 months after the index nonfatal drug overdose. Filling a naloxone prescription (adjusted odds ratio [AOR], 0.70; 95% CI, 0.56-0.89), each percentage of days receiving methadone (AOR, 0.98; 95% CI, 0.98-0.99) or buprenorphine (AOR, 0.99; 95% CI, 0.98-0.99), and receiving behavioral health assessment or crisis services (AOR, 0.25; 95% CI, 0.22-0.28) were all associated with reduced adjusted odds of fatal drug overdose in the 12 months after the index nonfatal drug overdose. CONCLUSIONS AND RELEVANCE: This cohort study found that, despite their known association with reduced risk of a fatal drug overdose, only a small percentage of Medicare beneficiaries received MOUD or filled a naloxone prescription in the 12 months after a nonfatal drug overdose. Efforts to improve access to behavioral health services; MOUD; and overdose-prevention strategies, such as prescribing naloxone and linking individuals to community-based health care settings for ongoing care, are needed.

IMPORTANCE: Parents' overdose death can have a profound short- and long-term impact on their children, yet little is known about the number of children who have lost a parent to drug overdose in the US. OBJECTIVE: To estimate the number and rate of children who have lost a parent to drug overdose from 2011 to 2021 overall and by parental age, sex, and race and ethnicity. DESIGN, SETTING, AND PARTICIPANTS: This was a cross-sectional study of US community-dwelling persons using data from the National Survey on Drug Use and Health (2010-2014 and 2015-2019) and the National Vital Statistics System (2011-2021). Data were analyzed from January to June 2023. EXPOSURE: Parental drug overdose death, stratified by age group, sex, and race and ethnicity. MAIN OUTCOMES AND MEASURES: Numbers, rates, and average annual percentage change (AAPC) in rates of children losing a parent aged 18 to 64 years to drug overdose, overall and by age, sex, and race and ethnicity. RESULTS: From 2011 to 2021, 649 599 adults aged 18 to 64 years died from a drug overdose (mean [SD] age, 41.7 [12.0] years; 430 050 [66.2%] male and 219 549 [33.8%] female; 62 606 [9.6%] Hispanic, 6899 [1.1%] non-Hispanic American Indian or Alaska Native, 6133 [0.9%] non-Hispanic Asian or Pacific Islander, 82 313 [12.7%] non-Hispanic Black, 485 623 [74.8%] non-Hispanic White, and 6025 [0.9%] non-Hispanic with more than 1 race). Among these decedents, from 2011 to 2021, an estimated 321 566 (95% CI, 276 592-366 662) community-dwelling children lost a parent aged 18 to 64 years to drug overdose. The rate of community-dwelling children who lost a parent to drug overdose per 100 000 children increased from 27.0 per 100 000 in 2011 to 63.1 per 100 000 in 2021. The highest rates were found among children of non-Hispanic American Indian or Alaska Native individuals, who had a rate of 187.1 per 100 000 in 2021, more than double the rate among children of non-Hispanic White individuals (76.5 per 100 000) and non-Hispanic Black individuals (73.2 per 100 000). While rates increased consistently each year for all parental age, sex, and race and ethnicity groups, non-Hispanic Black parents aged 18 to 25 years had the largest AAPC (23.8%; 95% CI, 16.5-31.6). Rates increased for both fathers and mothers; however, more children overall lost fathers (estimated 192 459; 95% CI, 164 081-220 838) than mothers (estimated 129 107; 95% CI, 112 510-145 824). CONCLUSIONS AND RELEVANCE: An estimated 321 566 children lost a parent to drug overdose in the US from 2011 to 2021, with significant disparities evident across racial and ethnic groups. Given the potential short- and long-term negative impact of parental loss, program and policy planning should ensure that responses to the overdose crisis account for the full burden of drug overdose on families and children, including addressing the economic, social, educational, and health care needs of children who have lost parents to overdose.

This cross-sectional study uses data from the 2021 National Survey on Drug Use and Health to estimate the receipt of medication for opioid use disorder among US adults with past-year opioid use disorder. | eng

IMPORTANCE: In April 2021, the US Department of Health and Human Services (HHS) released practice guidelines exempting educational requirements to obtain a Drug Addiction Treatment Act (DATA) waiver to treat up to 30 patients with opioid use disorder with buprenorphine. OBJECTIVE: To compare demographic and practice characteristics of clinicians who received traditional DATA waivers before and after release of the education-exempted HHS practice guidelines and those who were approved under the guidelines. DESIGN, SETTING, AND PARTICIPANTS: This survey study was conducted electronically from February 1 to March 1, 2022. Eligible survey recipients were US clinicians who obtained an initial DATA waiver between April 2020 and November 2021. EXPOSURE: DATA waiver approval pathway. MAIN OUTCOME AND MEASURES: The outcomes were clinician demographic and practice characteristics, buprenorphine prescribing barriers, and strategies to treat patients with opioid use disorder, measured using χ2 tests and z tests to assess for differences among the waivered groups. RESULTS: Of 23 218 eligible clinicians, 4519 (19.5%) responded to the survey. This analysis was limited to 2736 respondents with a 30-patient limit at the time of survey administration who identified their DATA waiver approval pathway. Among these respondents, 1365 (49.9%; female, 831 [61.9%]; male, 512 [38.1%]) received their DATA waiver prior to the education-exempted practice guidelines (prior DATA waiver), 550 (20.1%; female, 343 [63.4%]; male, 198 [36.6%]) received their waiver after guidelines were released but met education requirements (concurrent DATA waiver), and 821 (30.0%; female, 396 [49.2%]; male, 409 [50.8%]) received the waiver under the education-exempted guidelines (practice guidelines). Among practice guidelines clinicians, 500 (60.9%) reported that traditional DATA waiver educational requirements were a reason for not previously obtaining a waiver. Demographic and practice characteristics differed by waiver approval type. Across all groups, a large minority had not prescribed buprenorphine since obtaining a waiver (prior DATA waiver, 483 [35.7%]; concurrent DATA waiver, 226 [41.2%]; practice guidelines, 359 [44.3%]; P < .001). Clinicians who prescribed buprenorphine in the past 6 months reported treating few patients in an average month: 27 practice guidelines clinicians (6.0%) prescribed to 0 patients and 338 (75.1%) to 1 to 4 patients compared with 16 (2.2%) and 435 (59.9%) for prior and 11 (3.6%) and 166 (55.0%) for concurrent DATA waiver clinicians, respectively (P < .001). Across waiver types, clinicians reported multiple challenges to buprenorphine prescribing. CONCLUSIONS AND RELEVANCE: In this survey of DATA-waivered clinicians, clinician- and systems-level challenges that limit buprenorphine prescribing were observed, even among clinicians approved under the education-exempted guidelines pathway. The findings suggest that as implementation of legislation removing the DATA waiver begins, addressing these barriers could be essential to increasing buprenorphine access.

Cannabis consumption patterns are not evenly distributed and more frequent users, who are the minority of the population, disproportionately consume cannabis. Accurate measurement of the quantity and frequency of cannabis will require new approaches to surveillance but could lead to better assessment of the health outcomes of cannabis exposure.

IMPORTANCE: Federal emergency authorities were invoked during the COVID-19 pandemic to expand clinical telehealth for opioid use disorder (OUD). OBJECTIVE: To examine the association of the receipt of telehealth services and medications for OUD (MOUD) with fatal drug overdoses before and during the pandemic. DESIGN, SETTING, AND PARTICIPANTS: This cohort study used exploratory longitudinal data from 2 cohorts (prepandemic cohort: September 1, 2018, to February 29, 2020; pandemic cohort: September 1, 2019, to February 28, 2021) of Medicare Fee-for-Service beneficiaries aged 18 years or older initiating an episode of OUD-related care using Medicare Fee-for-Service data from the Centers for Medicare & Medicaid Services and National Death Index data from the Centers for Disease Control and Prevention. Data analysis was performed from September 19 to October 17, 2022. EXPOSURES: Prepandemic vs pandemic cohort demographic, medical, substance use, and psychiatric characteristics. MAIN OUTCOMES AND MEASURES: Receipt of OUD-related telehealth services, receipt of MOUD, and fatal drug overdose. RESULTS: The prepandemic cohort comprised 105 162 beneficiaries (58.1% female; 67.6% aged 45-74 years). The pandemic cohort comprised 70 479 beneficiaries (57.1% female; 66.3% aged 45-74 years). The rate of all-cause mortality was higher in the pandemic cohort (99.9 per 1000 beneficiaries; 7041 deaths) than in the prepandemic cohort (76.8 per 1000; 8076 deaths) (P < .001). The rate of fatal drug overdoses was higher in the pandemic cohort (5.1 per 1000 beneficiaries; n = 358) than in the prepandemic cohort (3.7 per 1000; n = 391) (P < .001). The percentage of deaths due to a fatal drug overdose was similar in the prepandemic (4.8%) and pandemic (5.1%) cohorts (P = .49). In multivariable analysis of the pandemic cohort, receipt of OUD-related telehealth was associated with a significantly lower adjusted odds ratio (aOR) for fatal drug overdose (aOR, 0.67; 95% CI, 0.48-0.92) as was receipt of MOUD from opioid treatment programs (aOR, 0.41; 95% CI, 0.25-0.68) and receipt of buprenorphine in office-based settings (aOR, 0.62; 95% CI, 0.43-0.91) compared with those not receiving MOUD; receipt of extended-release naltrexone in office-based settings was not associated with lower odds for fatal drug overdose (aOR, 1.16; 95% CI, 0.41-3.26). CONCLUSIONS AND RELEVANCE: This cohort study found that, among Medicare beneficiaries initiating OUD-related care during the COVID-19 pandemic, receipt of OUD-related telehealth services was associated with reduced risk for fatal drug overdose, as was receipt of MOUD from opioid treatment programs and receipt of buprenorphine in office-based settings. Strategies to expand provision of MOUD, increase retention in care, and address co-occurring physical and behavioral health conditions are needed.

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 8 111 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.

OBJECTIVES: To propose an approach for semantic and functional data harmonization related to sex and gender constructs in electronic health records (EHRs) and other clinical systems for implementors, as outlined in the National Academies of Sciences, Engineering, and Medicine (NASEM) report Measuring Sex, Gender Identity, and Sexual Orientation and the Health Level 7 (HL7) Gender Harmony Project (GHP) product brief "Gender Harmony-Modeling Sex and Gender Representation, Release 1." MATERIALS AND METHODS: Authors from both publications contributed to a plan for data harmonization based upon fundamental principles in informatics, including privacy, openness, access, legitimate infringement, least intrusive alternatives, and accountability. RESULTS: We propose construct entities and value sets that best align with both publications to allow the implementation of EHR data elements on gender identity, recorded sex or gender, and sex for clinical use in the United States. We include usability- and interoperability-focused reasoning for each of these decisions, as well as suggestions for cross-tabulation for populations. DISCUSSION AND CONCLUSION: Both publications agree on core approaches to conceptualization and measurement of sex- and gender-related constructs. However, some clarifications could improve our ability to assess gender modality, alignment (or lack thereof) between gender identity and assigned gender at birth, and address both individual-level and population-level health inequities. By bridging the GHP and NASEM recommendations, we provide a path forward for implementation of sex- and gender-related EHR elements. Suggestions for implementation of gender identity, recorded sex or gender, and sex for clinical use are provided, along with semantic and functional justifications.

BACKGROUND: Prior research indicates rising methamphetamine use and harms in the U.S., potentially related to increases in methamphetamine injection. To date, research on trends and correlates of methamphetamine injection is limited. METHODS: Analysis of trends and correlates of methamphetamine injection among treatment admissions among persons aged ≥ 12 whose primary substance of use at admission is methamphetamine. Data are from the Treatment Episode Data Set. Analyses includes descriptive statistics, trend analyses, and multilevel multivariable logistic regression. RESULTS: Primary methamphetamine treatment admissions increased from 138,379 in 2010 to 201,021 in 2019. Among primary methamphetamine admissions, injection as the usual route of use increased from 24,821 (18.0 % of admissions) in 2010 to 55,951 (28.2 % of admissions) in 2019. Characteristics associated with increased adjusted odds of reporting methamphetamine injection included: males (aOR = 1.13, 95 % CI = 1.10-1.15); admission age 25-34 years (aOR = 1.23, 95 % CI = 1.19-1.28) and 35-44 years (aOR = 1.12, 95 % CI = 1.08-1.17) compared to age 18-24; dependent living (aOR = 1.33, 95 % CI = 1.29-1.37) and homelessness (aOR = 1.58, 95 % CI = 1.54-1.63) compared to independent living; part-time employment (aOR = 1.08, 95 % CI = 1.02-1.14), unemployment (aOR = 1.39, 95 % CI = 1.34-1.44) and not in labor force (aOR = 1.43, 95 % CI = 1.37-1.49) compared to full-time employment; one to ≥ four prior treatment admissions (aORs ranging from 1.19 to 1.94) compared to no prior admissions; also reporting use of cocaine (aOR = 1.10, 95 % CI = 1.05-1.16), heroin (aOR = 3.52, 95 % CI = 3.40-3.66), prescription opioids (aOR = 1.61, 95 % CI = 1.54-1.67), or benzodiazepines (aOR = 1.42, 95 % CI = 1.32-1.52) at treatment admission. CONCLUSIONS: Findings lend further evidence to a resurgence of methamphetamine use that is intertwined with the ongoing opioid crisis in the U.S. Efforts to expand evidence-based prevention, treatment, and response efforts, particularly to populations at highest risk, are urgently needed.

This cross-sectional study describes the nationwide trends in drug overdose mortality during the COVID-19 pandemic by age, sex, and race and ethnicity.

IMPORTANCE: Federal emergency authorities were invoked during the COVID-19 pandemic to expand use of telehealth for new and continued care, including provision of medications for opioid use disorder (MOUD). OBJECTIVE: To examine receipt of telehealth services, MOUD (methadone, buprenorphine, and extended-release [ER] naltrexone) receipt and retention, and medically treated overdose before and during the COVID-19 pandemic. DESIGN, SETTING, AND PARTICIPANTS: This exploratory longitudinal cohort study used data from the US Centers for Medicare & Medicaid Services from September 2018 to February 2021. Two cohorts (before COVID-19 pandemic from September 2018 to February 2020 and during COVID-19 pandemic from September 2019 to February 2021) of Medicare fee-for-service beneficiaries 18 years and older with an International Statistical Classification of Diseases, Tenth Revision, Clinical Modification OUD diagnosis. EXPOSURES: Pre-COVID-19 pandemic vs COVID-19 pandemic cohort demographic characteristics, medical and substance use, and psychiatric comorbidities. MAIN OUTCOMES AND MEASURES: Receipt and retention of MOUD, receipt of OUD and behavioral health-related telehealth services, and experiencing medically treated overdose. RESULTS: The pre-COVID-19 pandemic cohort comprised 105 240 beneficiaries; of these, 61 152 (58.1%) were female, 71 152 (67.6%) were aged 45 to 74 years, and 82 822 (79.5%) non-Hispanic White. The COVID-19 pandemic cohort comprised 70 538 beneficiaries; of these, 40 257 (57.1%) were female, 46 793 (66.3%) were aged 45 to 74 years, and 55 510 (79.7%) were non-Hispanic White. During the study period, a larger percentage of beneficiaries in the pandemic cohort compared with the prepandemic cohort received OUD-related telehealth services (13 829 [19.6%] vs 593 [0.6%]; P < .001), behavioral health-related telehealth services (28 902 [41.0%] vs 1967 [1.9%]; P < .001), and MOUD (8854 [12.6%] vs 11 360 [10.8%]; P < .001). The percentage experiencing a medically treated overdose during the study period was similar (18.5% [19 491 of 105 240] in the prepandemic cohort vs 18.4% [13 004 of 70 538] in the pandemic cohort; P = .65). Receipt of OUD-related telehealth services in the pandemic cohort was associated with increased odds of MOUD retention (adjusted odds ratio [aOR], 1.27; 95% CI, 1.14-1.41) and lower odds of medically treated overdose (aOR, 0.67; 95% CI, 0.63-0.71). Among beneficiaries in the pandemic cohort, those receiving MOUD from opioid treatment programs only (aOR, 0.54; 95% CI, 0.47-0.63) and those receiving buprenorphine from pharmacies only (aOR, 0.91; 95% CI, 0.84-0.98) had lower odds of medically treated overdose compared with beneficiaries who did not receive MOUD. CONCLUSIONS AND RELEVANCE: Emergency authorities to expand use of telehealth and provide flexibilities for MOUD provision during the pandemic were used by Medicare beneficiaries initiating an episode of OUD-related care and were associated with improved retention in care and reduced odds of medically treated overdose. Strategies to expand provision of MOUD and increase retention in care are urgently needed.

This observational study assesses whether methadone-involved overdose deaths decreased when opioid treatment programs take-home policies changed during the COVID-19 pandemic.

Objective: Clinical interventions targeting co-occurring psychiatric disorders may represent a tangible target for improving retention in buprenorphine treatment for opioid use disorder. The aims of this study are to characterize receipt of antidepressants among patients receiving buprenorphine treatment and to examine the association between receiving antidepressants and retention in treatment. Methods: A retrospective cohort design was used. Using data from a large national commercially insured population, the cohort was selected as adults aged 18 to 64 years who initiated buprenorphine treatment in outpatient settings between January 1, 2016, and June 30, 2017. Receiving antidepressants was identified as prescription fills in the period between 6 months prior to buprenorphine initiation and during buprenorphine treatment. Buprenorphine discontinuation was defined as no buprenorphine prescription supply for at least 60 days following the end of the last buprenorphine prescription. Results: The cohort consisted of 11,619 individuals who initiated buprenorphine treatment and met our inclusion criteria. The cohort had a mean age of 36.3 years, 63% were male, and 55.7% received at least 1 antidepressant prescription at any time between 6 months prior to buprenorphine initiation and during treatment. Compared with those receiving no antidepressants at all, individuals starting antidepressants during buprenorphine treatment had an adjusted hazard ratio (HR) for treatment discontinuation of 0.72 (95% CI=0.67-0.77), while receiving antidepressants only prior to buprenorphine initiation was associated with an increased risk of treatment discontinuation (HR=1.40, 95% CI=1.28-1.53). Conclusions: Findings suggest that receiving antidepressants during buprenorphine treatment is associated with improved retention. This highlights the critical importance of screening for and treating mental disorders concomitantly with treatment of opioid use disorder.

Starting with a high impact paper in Science in 2018, the team at the University of Pittsburgh lead by Hawre Jalal has documented intriguing observations about the factors undergirding the trajectory of the drug overdose epidemic in the United States (Jalal et al., 2018). Their work demonstrates that the epidemic of unintentional drug overdose deaths has followed an exponential growth curve that spans several major drug types as the primary drivers of the epidemic over the decades since 1979. Of note, in July 2021, the National Center for Health Statistics of the U.S. Centers for Disease Control and Prevention (CDC) released provisional mortality data indicating an approximately 30 percent increase in the number of overdoses in the U.S. during the 12-months ending December 2020 compared to the same time period for 2019 (Hedegaard et al., 2020; Ahmad et al., 2021). While the 2020 data include deaths determined as from any cause (i.e. unintentional, intentional and undetermined), these overall increases suggest that the exponential growth in overdose deaths identified by Jalal and colleagues continues (see Fig. 1). Additionally, analyses by Jalal and colleagues demonstrate shifting patterns of overdose death by birth cohort and provide insight into the deviation from this curve seen in 2018 when overdose deaths dropped slightly (Jalal & Burke, 2021; Jalal et al., 2020a). Their work includes both intriguing overall observations about the epidemic as well as contributions to analytic methods and data visualization techniques that have implications for epidemiology and public health practice (Jalal & Burke, 2020b). While other commentaries may focus on the methods used by Jalal and the strengths of the evidence supporting the work, in this commentary, we review the major implications of their findings. In particular, we describe some of the potential next steps in public health research and practice that could be informed by this important line of research.

PURPOSE: In response to the opioid crisis, opioid analgesic guidelines and prescribing limits have proliferated. The purpose of this narrative review is to examine evidence from studies evaluating the patient or public health impact of federal and state opioid analgesic prescribing guidelines and laws, describe gaps and challenges in current research, and highlight opportunities for improving future research. METHODS: We focused on evidence from a literature review covering 2013 through 2019. We identified 30 studies evaluating opioid analgesic thresholds based on federal policies and guidelines, state laws, and Medicaid state plans that attempt to influence the course of patient care at or when the limit is exceeded (e.g., prior authorization). RESULTS: Most studies evaluated changes in prescribing or dispensing patterns of opioid analgesics, largely finding decreases in prescribing after policy enactment. Fewer studies evaluated patient or public health outcomes beyond changes in prescribing and dispensing patterns; results were infrequently stratified by potentially important sociodemographic and clinical factors. No studies assessed the potential for adverse patient outcomes for which we have emerging evidence of harms. CONCLUSIONS: We describe knowledge gaps and propose opportunities for future research to sufficiently assess the potential impact and unintended consequences of opioid analgesic prescribing laws, regulations, guidelines, and policies.

Limited data are available for how biomarkers of tobacco exposure (BOE) change when cigarette smokers transition to using electronic nicotine delivery systems (ENDS). Using biomarker data from Waves 1 (20132014) and 2 (20142015) of the PATH Study, we examined how mean BOE concentrations, including metabolites of nicotine, tobacco-specific nitrosamines (TSNA), polycyclic aromatic hydrocarbons (PAH), and volatile organic compounds (VOCM) and metals, changed when 2475 adult smokers transitioned to using ENDS or quit tobacco products. Exclusive smokers who transitioned to dual use had a significant decrease in NNAL (4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol), but not nicotine metabolites, most PAHs, metals, or VOCMs. Exclusive smokers who became dual users had significant reductions in total nicotine equivalents, NNAL, and 2CyEMA (acrylonitrile metabolite), but only in those who reduced cigarettes per day (CPD) by >=50%. Smokers who transitioned to exclusive ENDS use had significant reductions in most TSNAs, PAHs, and VOCMs; however, nicotine metabolites did not decrease in dual users who became exclusive ENDS users. Smokers who quit tobacco use had significant decreases in nicotine metabolites, all TSNAs, most PAHs, and most VOCMs. Cigarette smokers who became dual users did not experience significant reductions in most BOEs. Reductions were impacted by changes in CPD. However, transitioning from smoking to no tobacco or exclusive ENDS use was associated with reduced exposure to most BOEs measured. Future analyses could incorporate additional waves of PATH data and examine changes in biomarker exposure by ENDS device type and CPD. 2022 by the authors. Licensee MDPI, Basel, Switzerland.

IMPORTANCE: There is a lack of empirical research regarding misuse of buprenorphine hydrochloride. OBJECTIVE: To identify prescription opioids that are most frequently misused, assess differences in motivations for misuse between buprenorphine and nonbuprenorphine prescription opioids, and examine trends in and factors associated with buprenorphine misuse among individuals with or without opioid use disorder (OUD). DESIGN, SETTING, AND PARTICIPANTS: This survey study used nationally representative data on past-year prescription opioid use, misuse, OUD, and motivations for the most recent misuse from the 2015-2019 National Survey on Drug Use and Health (NSDUH). Participants included 214 505 civilian, noninstitutionalized adult NSDUH respondents. Data were collected from January 2015 to December 2019 and analyzed from February 15 to March 15, 2021. MAIN OUTCOMES AND MEASURES: Buprenorphine use, misuse, and OUD. Misuse was defined as use "in any way that a doctor [physician] did not direct you to use them, including (1) use without a prescription of your own; (2) use in greater amounts, more often, or longer than you were told to take them; or (3) use in any other way a doctor did not direct you to use them." RESULTS: The 214 505 respondents included in the analysis represented an estimated annual average 246.7 million US adults during 2015-2019 (51.7% [95% CI, 51.4%-52.0%] women; 13.9% [95% CI, 13.7%-14.1%] aged 18-25 y; 40.6% [95% CI, 40.3%-41.0%] aged 26-49 y; 45.5% [95% CI, 45.0-45.9%] aged ≥50 y). In 2019, an estimated 2.4 (95% CI, 2.2-2.7) million US adults used buprenorphine, and an estimated 0.7 (95% CI, 0.5-0.9) million misused buprenorphine compared with an estimated 4.9 (95% CI, 4.4-5.4) million and an estimated 3.0 (95% CI, 2.7-3.2) million who misused hydrocodone and oxycodone, respectively. Prevalence of OUD with buprenorphine misuse trended downward during the period from 2015 to 2019. "Because I am hooked" (27.3% [95% CI, 21.6%-33.8%]) and "to relieve physical pain" (20.5% [95% CI, 14.0%-29.0%]) were the most common motivations for the most recent buprenorphine misuse among adults with OUD. Adults who misused buprenorphine were more likely to report using prescription opioids without having their own prescriptions than those who misused nonbuprenorphine prescription opioids (with OUD: 71.8% [95% CI, 66.4%-76.6%] vs 53.2% [95% CI, 48.5%-57.8%], P < .001; without OUD: 74.7% [95% CI, 68.7%-79.9%] vs 60.0% [58.1%-61.8%], P < .001). Among adults with past-year OUD who used buprenorphine, multivariable multinomial logistic regression results indicated that buprenorphine misuse was associated with being 24 to 34 (adjusted odds ratio [AOR], 2.9 [95% CI, 1.4-5.8]) and 35 to 49 (AOR, 2.3 [95% CI, 1.2-4.5]) years of age, residing in nonmetropolitan areas (AOR, 1.8 [95% CI, 1.0-3.0]), and polysubstance use (eg, past-year prescription stimulant use disorder; AOR, 3.9 [95% CI, 1.3-11.2]) but was negatively associated with receiving treatment for drug use only (AOR, 0.4 [95% CI, 0.3-0.7]). CONCLUSIONS AND RELEVANCE: These findings suggest that among adults with OUD, prevalence of buprenorphine misuse trended downward from 2015 to 2019. In 2019, nearly three-fourths of US adults reporting past-year buprenorphine use did not misuse their prescribed buprenorphine, and most who misused reported using prescription opioids without having their own prescriptions. These findings underscore the need to pursue actions that expand access to buprenorphine-based OUD treatment, to develop strategies to monitor and reduce buprenorphine misuse, and to address associated conditions (eg, suicide risk, co-occurring mental illness, and polysubstance use).

Recent attention has focused on the growing role of psychostimulants, such as methamphetamine in overdose deaths. Methamphetamine is an addictive and potent stimulant, and its use is associated with a range of physical and mental health harms, overdose, and mortality. Adding to the complexity of this resurgent methamphetamine threat is the reality that the increases in methamphetamine availability and harms are occurring in the midst of and intertwined with the ongoing opioid overdose crisis. Opioid involvement in psychostimulant-involved overdose deaths increased from 34.5% of overdose deaths in 2010 to 53.5% in 2019-an increase of more than 50%. This latest evolution of the nation's overdose epidemic poses novel challenges for prevention, treatment, and harm reduction. This narrative review synthesizes what is known about changing patterns of methamphetamine use with and without opioids in the United States, other characteristics associated with methamphetamine use, the contributions of the changing illicit drug supply to use patterns and overdose risk, motivations for couse of methamphetamine and opioids, and awareness of exposure to opioids via the illicit methamphetamine supply. Finally, the review summarizes illustrative community and health system strategies and research opportunities to advance prevention, treatment, and harm reduction policies, programs, and practices.

IMPORTANCE: Mortality associated with methamphetamine use has increased markedly in the US. Understanding patterns of methamphetamine use may help inform related prevention and treatment. OBJECTIVE: To assess the national trends in and correlates of past-year methamphetamine use, methamphetamine use disorder (MUD), injection, frequent use, and associated overdose mortality from 2015 to 2019. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study analyzed methamphetamine use, MUD, injection, and frequent use data from participants in the 2015 to 2019 National Surveys on Drug Use and Health (NSDUH). Mortality data were obtained from the 2015 to 2019 National Vital Statistics System Multiple Cause of Death files. EXPOSURES: Methamphetamine use. MAIN OUTCOMES AND MEASURES: Methamphetamine use, MUD, injection, frequent use, and overdose deaths. RESULTS: Of 195 711 NSDUH respondents aged 18 to 64 years, 104 408 were women (weighted percentage, 50.9%), 35 686 were Hispanic individuals (weighted percentage, 18.0%), 25 389 were non-Hispanic Black (hereafter, Black) individuals (weighted percentage, 12.6%), and 114 248 were non-Hispanic White (hereafter, White) individuals (weighted percentage, 60.6%). From 2015 to 2019, overdose deaths involving psychostimulants other than cocaine (largely methamphetamine) increased 180% (from 5526 to 15 489; P for trend <.001); methamphetamine use increased 43% (from 1.4 million [95% CI, 1.2-1.6 million] to 2.0 million [95% CI, 1.7-2.3 million]; P for trend = .002); frequent methamphetamine use increased 66% (from 615 000 [95% CI, 512 000-717 000] to 1 021 000 [95% CI, 860 000-1 183 000]; P for trend = .002); methamphetamine and cocaine use increased 60% (from 402 000 [95% CI, 306 000-499 000] to 645 000 [95% CI, 477 000-813 000]; P for trend = .001); and MUD without injection increased 105% (from 397 000 [95% CI, 299 000-496 000] to 815 000 [95% CI, 598 000-1 033 000]; P for trend = .006). The prevalence of MUD or injection surpassed the prevalence of methamphetamine use without MUD or injection in each year from 2017 to 2019 (60% to 67% vs 37% to 40%; P for trend ≤.001). Adults with MUD or using injection were more likely to use methamphetamine frequently (52.68%-53.84% vs 32.59%; adjusted risk ratio, 1.62-1.65; 95% CI, 1.35-1.94). From 2015 to 2019, the adjusted prevalence of MUD without injection more than tripled among heterosexual women (from 0.24% to 0.74%; P < .001) and lesbian or bisexual women (from 0.21% to 0.71%; P < .001) and more than doubled among heterosexual men (from 0.29% to 0.79%; P < .001) and homosexual or bisexual men (from 0.29% to 0.80%; P = .007). It increased over 10-fold among Black individuals (from 0.06% to 0.64%; P < .001), nearly tripled among White individuals (from 0.28% to 0.78%; P < .001), and more than doubled among Hispanic individuals (from 0.39% to 0.82%; P < .001). Risk factors for methamphetamine use, MUD, injection, and frequent use included lower educational attainment, lower annual household income, lack of insurance, housing instability, criminal justice involvement, comorbidities (eg, HIV/AIDS, hepatitis B or C virus, depression), suicidal ideation, and polysubstance use. CONCLUSIONS AND RELEVANCE: This cross-sectional study found consistent upward trends in overdose mortality, greater risk patterns of methamphetamine use, and populations at higher risk for MUD diversifying rapidly, particularly those with socioeconomic risk factors and comorbidities. Evidence-based prevention and treatment interventions are needed to address surges in methamphetamine use and MUD.

INTRODUCTION: This study examined the predictive relationships between biomarkers of nicotine exposure and 16-item self-reported level of tobacco dependence (TD) and subsequent tobacco use outcomes. METHODS: The Population Assessment of Tobacco and Health (PATH) Study surveyed adult current established tobacco users who provided urine biospecimens at Wave 1 (September 2013-December 2014) and completed the Wave 2 (October 2014-October 2015) interview (n=6872). Mutually exclusive user groups at Wave 1 included: Cigarette Only, E-cigarette Only, Cigar Only, Hookah Only, Smokeless Tobacco Only, Cigarette Plus E-cigarette, multiple tobacco product users who smoked cigarettes, and multiple tobacco product users who did not smoke cigarettes. Total Nicotine Equivalents (TNE-2) and TD were measured at Wave 1. Approximate one-year outcomes included frequency/quantity used, quitting, and adding/switching to different tobacco products. RESULTS: For Cigarette Only smokers and multiple tobacco product users who smoked cigarettes, higher TD and TNE-2 were associated with: a tendency to smoke more, smoking more frequently over time, decreased likelihood of switching away from cigarettes, and decreased probability of quitting after one year. For other product user groups, Wave 1 TD and/or TNE-2 were less consistently related to changes in quantity and frequency of product use, or for adding or switching products, but higher TNE-2 was more consistently predictive of decreased probability of quitting. CONCLUSIONS: Self-reported TD and nicotine exposure assess common and independent aspects of dependence in relation to tobacco use behaviors for cigarette smokers. For other product user groups, nicotine exposure is a more consistent predictor of quitting than self-reported TD. IMPLICATIONS: This study suggests that smoking cigarettes leads to the most coherent pattern of associations consistent with a syndrome of TD. Because cigarettes continue to be prevalent and harmful, efforts to decrease their use may be accelerated via conventional means (e.g., smoking cessation interventions and treatments), but also perhaps by decreasing their dependence potential. The implications for noncombustible tobacco products are less clear as the stability of tobacco use patterns that include products such as e-cigarettes continue to evolve. TD, nicotine exposure measures, and consumption could be used in studies that attempt to understand and predict product-specific tobacco use behavioral outcomes.

IN RECENT YEARS, THE SOCIAL ACCEPTANCE OF AND LEGAL PROTECTIONS extended to persons in sexual minority groups have been increasing in many countries, including the United States. Despite this progress, stigma, discrimination, and structural barriers to services persist, causing health disparities and, in some cases, a diminished sense of well-being.1 Substance use, across a range of licit and illicit substances, is higher among gay, bisexual, and other men who have sex with men (MSM) than among men who do not have sex with men.1 This disparity is important, given the overdose crisis in the United States, rising rates of infectious disease transmission among people who use drugs, and engagement in high-risk sexual behaviors among some MSM who use drugs.1,2 We provide a brief review of substance use in this high-risk population.

This cross-sectional study investigates the prevalence of guideline-directed use of medications for treating alcohol use disorder and its association with outcomes.

BACKGROUND: To determine how clinicians with a DATA waiver to prescribe buprenorphine for opioid use disorder (OUD) adapted during the COVID-19 pandemic to emergency authorities, including use of telehealth to prescribe buprenorphine, the challenges faced by clinicians, and strategies employed by them to manage patients with OUD. METHODS: From June 23, 2020 to August 19, 2020, we conducted an electronic survey of U.S. DATA-waivered clinicians. Descriptive statistics and multivariable logistic regression were used for analysis. RESULTS: Among 10,238 respondents, 68 % were physicians, 25 % nursing-related providers, and 6% physician assistants; 28 % reported never prescribing or not prescribing in the 12 months prior to the survey. Among the 72 % of clinicians who reported past 12-month buprenorphine prescribing (i.e. active practitioners during the pandemic) 30 % reported their practice setting closed to in-person visits during COVID-19; 33 % reported remote prescribing to new patients without an in-person examination. The strongest predictors of remote buprenorphine prescribing to new patients were prescribing buprenorphine to larger numbers of patients in an average month in the past year and closure of the practice setting during the pandemic; previous experience with remote prescribing to established patients prior to COVID-19 also was a significant predictor. Among clinicians prescribing to new patients without an in-person examination, 5.5 % reported difficulties with buprenorphine induction, most commonly withdrawal symptoms. CONCLUSIONS: Telehealth practices and prescribing to new patients without an in-person examination were adopted by DATA-waivered clinicians during the first six months of COVID-19. Permanent adoption of these authorities may enable expanded access to buprenorphine treatment.

BACKGROUND: Cocaine is the most commonly reported illicit stimulant used in the U.S., yet limited research has examined recent changes in cocaine use patterns and co-occurring substance use and mental health characteristics among adults using cocaine. METHODS: Self-report data from adults (age 18 years or older) participating in the 2006 to 2019 National Surveys on Drug Use and Health (NSDUH) were used to estimate trends in prevalence of past-year cocaine use by demographic characteristics, cocaine use disorder, cocaine injection, frequency of use. For 2018-2019, prevalence of co-occurring past-year use of other illicit and prescription substances and mental health characteristics were estimated. Multivariable logistic regression examined demographic, substance use, and mental health characteristics associated with past-year cocaine use in 2018-2019. RESULTS: The annual average estimated prevalence of past-year cocaine use among adults was highest in 2006-2007 (2.51%), declined to 1.72% in 2010-2011, and then increased to 2.14% in 2018-2019. The annual average estimated prevalence of past-year cocaine use disorder was highest in 2006-2007 (0.71%) and declined to 0.37% in 2018-2019. Characteristics associated with higher adjusted odds of past-year cocaine use included: males; ages 18-49; Hispanic ethnicity; income <$20,000; large or small metro counties; use of other substances (nicotine, alcohol, marijuana, sedative/tranquilizers, prescription opioids, prescription stimulants, heroin, and methamphetamine); and serious psychological distress and suicidal ideation or attempt. CONCLUSION: Additional efforts to support prevention and response capacity in communities, expand linkages to care and retention for substance use and mental health, and enhance collaborations between public health and public safety are needed.

Coal mines are continuously seeking to determine the performance of entries with different ground control products and installation methods. There are many factors that impact how an entry will perform which include but are not limited to geology, overburden, bolting type and pattern, and mine design. At the National Institute for Occupational Safety and Health (NIOSH), research has been instituted to examine the relationship of the parts of a coal mine entry as a system and not as individual components. To study this relationship, the first step in this study was to create a numeric rating system that accurately reflects visual observations of the mine entry and is easy to implement. NIOSH researchers devised this rating system to improve upon previous ideas, offering increased flexibility which can be incorporated into an overall entry condition that offers different levels of confidence based on the user's time devoted to the inspection. This new entry rating system was implemented at three different mines over varying periods of time to evaluate the ground response to the geology, bolt installation pattern, stress changes by mining, overburden, and time dependency.

Ground control failures continue to be one of the leading causes of injuries and fatalities in underground coal mining. The roof, rib, floor, and pillars are four areas of potential ground failures that miners, engineers, and consultants are continually evaluating. Quite often, these four underground structures are evaluated independently. A recent push to consider them as a system and in a similar manner as design engineers evaluate mechanical systems has highlighted the need to fully understand the interrelationship among the roof, rib, floor, and pillar. This relationship combines the geometry of the mine layout, geological environment, installed support, and even the timing of the coal extraction. Several studies using field observations and instrumentation show that these relationships can be independent at times, while being dependent in other scenarios. Cases with good roof conditions while the rib and floor deteriorate are contrasted with cases where the roof, rib, and floor deteriorate at the same time. The presented cases in this study demonstrate the importance of understanding the geological environment and mine design to ensure that the proper support is installed.

BACKGROUND: Expanding access to treatment and recovery services is key to reducing substance use-related harms. Fundamental to expanding such services is better understanding the populations identifying themselves as in recovery. This study uses nationally representative data to estimate prevalence and correlates of recovery in the U.S. METHODS: Data are from the 43,026 adults (aged 18 or older) participating in the 2018 National Survey on Drug Use and Health. Based on self-reported data, we estimate prevalence of ever having a substance use problem, the percentage in recovery among those with a substance use problem, and a multivariable logistic regression model to explore associations of recovery status with demographic characteristics and lifetime mental health problems. Among adults reporting a substance use problem, we compare prevalence of substance use by recovery status, followed by a multivariable model examining associations between each substance used and being in recovery. RESULTS: More than 1 in 10 adults (27.5 million) in the U.S. reported ever having a substance use problem, and, among those with a problem, nearly 75 % (20.5 million) reported being in recovery. Reporting lower prevalence of using substances in the past year and having received treatment for their substance use problem were associated with being in recovery. Ever having a mental health problem was highly prevalent among those reporting a substance use problem. CONCLUSIONS: The provision and expansion of substance use treatment services continues to be important to reduce harms related to substance use, especially for those with both substance use and mental health disorders.