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.

Adolescence is an important period of risk for substance use initiation and substance use-related adverse outcomes. To examine youth substance use trends and patterns, CDC analyzed data from the 2009-2019 Youth Risk Behavior Survey. This report presents estimated prevalence of current (i.e., previous 30-days) marijuana use, prescription opioid misuse, alcohol use, and binge drinking and lifetime prevalence of marijuana, synthetic marijuana, cocaine, methamphetamine, heroin, injection drug use, and prescription opioid misuse among U.S. high school students. Logistic regression and Joinpoint analyses were used to assess 2009-2019 trends. Prevalence of current and lifetime substance use by demographics, frequency of use, and prevalence of co-occurrence of selected substances among students reporting current prescription opioid misuse are estimated using 2019 data. Multivariable logistic regression analysis was used to determine demographic and substance use correlates of current prescription opioid misuse. Current alcohol, lifetime cocaine, methamphetamine, heroin, and injection drug use decreased during 2009-2019. Lifetime use of synthetic marijuana (also called synthetic cannabinoids) decreased during 2015-2019. Lifetime marijuana use increased during 2009-2013 and then decreased during 2013-2019. In 2019, 29.2% reported current alcohol use, 21.7% current marijuana use, 13.7% current binge drinking, and 7.2% current prescription opioid misuse. Substance use varied by sex, race/ethnicity, grade, and sexual minority status (lesbian, gay, or bisexual). Use of other substances, particularly current use of alcohol (59.4%) and marijuana (43.5%), was common among students currently misusing prescription opioids. Findings highlight opportunities for expanding evidence-based prevention policies, programs, and practices that aim to reduce risk factors and strengthen protective factors related to youth substance use, in conjunction with ongoing initiatives for combating the opioid crisis.

The COVID-19 pandemic has been associated with established risk factors for adolescent substance use, including social isolation, boredom, grief, trauma, and stress. However, little is known about adolescent substance use patterns during the pandemic. CDC analyzed data from the Adolescent Behaviors and Experiences Survey, an online survey of a probability-based, nationally representative sample of public- and private-school students in grades 9-12 (N = 7,705), to examine the prevalence of current use of tobacco products, alcohol, and other substances among U.S. high school students. Prevalence was examined by demographic characteristics and instructional models of the students' schools (in-person, virtual, or hybrid). During January-June 2021, 31.6% of high school students reported current use of any tobacco product, alcohol, or marijuana or current misuse of prescription opioids. Current alcohol use (19.5%), electronic vapor product (EVP) use (15.4%), and marijuana use (12.8%) were more prevalent than prescription opioid misuse (4.3%), current cigarette smoking (3.3%), cigar smoking (2.3%), and smokeless tobacco use (1.9%). Approximately one third of students who used EVPs did so daily, and 22.4% of students who drank alcohol did so ≥6 times per month. Approximately one in three students who ever used alcohol or other drugs reported using these substances more during the pandemic. The prevalence of substance use was typically higher among non-Hispanic American Indian or Alaska Native students, older students, and gay, lesbian, or bisexual students than among students of other racial or ethnic groups, younger students, and heterosexual students. The prevalence of alcohol use also was higher among non-Hispanic White students than those of other racial or ethnic groups. Students only attending school virtually had a lower prevalence of using most of the substances examined than did students attending schools with in-person or hybrid models. These findings characterizing youth substance use during the pandemic can help inform public health interventions and messaging to address these health risks during and after the COVID-19 pandemic.

Adolescence is a critical phase of development and is frequently a period of initiating and engaging in risky behaviors, including alcohol and other substance use. The COVID-19 pandemic and associated stressors might have affected adolescent involvement in these behaviors. To examine substance use patterns and understand how substance use among high school students changed before and during the COVID-19 pandemic, CDC analyzed data from the nationally representative Youth Risk Behavior Survey. This report presents estimated prevalences among high school students of current (i.e., previous 30 days) alcohol use, marijuana use, binge drinking, and prescription opioid misuse and lifetime alcohol, marijuana, synthetic marijuana, inhalants, ecstasy, cocaine, methamphetamine, heroin, and injection drug use and prescription opioid misuse. Trends during 2009-2021 were assessed using logistic regression and joinpoint regression analyses. Changes in substance use from 2019 to 2021 were assessed using prevalence differences and prevalence ratios, stratified by demographic characteristics. Prevalence of substance use measures by sexual identity and current co-occurring substance use were estimated using 2021 data. Substance use prevalence declined during 2009-2021. From 2019 to 2021, the prevalence of current alcohol use, marijuana use, and binge drinking and lifetime use of alcohol, marijuana, and cocaine and prescription opioid misuse decreased; lifetime inhalant use increased. In 2021, substance use varied by sex, race and ethnicity, and sexual identity. Approximately one third of students (29%) reported current use of alcohol or marijuana or prescription opioid misuse; among those reporting current substance use, approximately 34% used two or more substances. Widespread implementation of tailored evidence-based policies, programs, and practices likely to reduce risk factors for adolescent substance use and promote protective factors might further decrease substance use among U.S. high school students and is urgently needed in the context of the changing marketplaces for alcohol beverage products and other drugs (e.g., release of high-alcohol beverage products and increased availability of counterfeit pills containing fentanyl).

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

Donor-derived transmission of infections is a rare complication of kidney transplant. Hepatitis A virus (HAV) is a common cause of acute viral hepatitis worldwide, but donor-derived transmission to organ recipients has been reported in the literature only twice previously. The timeline for HAV incubation and clearance in transplant recipients is not well understood. METHODS: In 2018, 2 kidneys and a liver were procured from a deceased donor resident of Kentucky, one of many states that was experiencing an HAV outbreak associated with person-to-person transmission through close contact, primarily among people who reported drug use. Both kidney recipients, residents of Virginia, subsequently developed acute HAV infections. We report the results of an investigation to determine the source of transmission and describe the clinical course of HAV infection in the infected kidney recipients. RESULTS: The liver recipient had evidence of immunity to HAV and did not become infected. The donor and both kidney recipients were found to have a genetically identical strain of HAV using a next-generation sequencing-based cyber molecular assay (Global Hepatitis Outbreak Surveillance Technology), confirming donor-derived HAV infections in kidney recipients. At least 1 kidney recipient experienced delayed development of detectable hepatitis A anti-IgM antibodies. By 383 and 198 d posttransplant, HAV RNA was no longer detectable in stool specimens from the left and right kidney recipients, respectively. CONCLUSIONS: Adherence to current guidance for hepatitis A vaccination may prevent future morbidity due to HAV among organ recipients. http://links.lww.com/TXD/A548.

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.

BACKGROUND: Safer opioid analgesic prescribing and increasing use of medications for opioid use disorder, including buprenorphine, are strategies prioritized to reduce opioid overdose deaths in the United States. Specialty-specific trends in the number of prescribers and prescriptions for opioid analgesics and buprenorphine are not well characterized. METHODS: We used data from the IQVIA Longitudinal Prescription database for January 1, 2016 through December 31, 2021. We identified opioid and buprenorphine prescriptions based on NDC codes. We classified prescribers into one of 14 mutually exclusive specialty groups. We calculated the number of prescribers and number of prescriptions for opioids and buprenorphine by specialty and year. RESULTS: From 2016 to 2021, the total number of opioid analgesic prescriptions dispensed decreased by 32% to 121,693,308 and the number of unique opioid analgesic prescribers decreased 7% to 966,369. Over the same time period, the number of buprenorphine prescriptions dispensed increased 36% to 13,909,724 and unique number of buprenorphine prescribers increased 86% to 59,090. Across most specialties we identified a contraction in the number of opioid prescriptions dispensed and opioid prescribers and an expansion in the number of buprenorphine prescriptions dispensed. Among high-volume opioid prescribing specialties, the largest decrease in opioid prescribers was 32% among Pain Medicine clinicians. By 2021, Advanced Practice Practitioners overtook Primary Care clinicians as the highest volume buprenorphine prescribers. CONCLUSIONS: More work is needed to understand the impact of clinicians who stop prescribing opioids. While the trend in buprenorphine prescribing is encouraging, further expansion is warranted to meet the underlying need.

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

To the Editor The debate on effects of state medical and recreational marijuana laws (MMLs/RMLs) is at the forefront of drug policy. Assessing associations of MMLs/RMLs with youth marijuana use is critical given marijuana’s potential for long-term negative effects on brain development and function.1,2 Anderson et al,3 using Youth Risk Behavior Survey (YRBS) data, report MMLs are not associated with youth marijuana use and RMLs are associated with reduced use. However, their analyses include substantial methodologic flaws that may undermine these findings. | | Authors pooled national and state YRBS data from 1993 to 2017. Pooling national and state YRBS data is inappropriate because underlying person-level weights are different, and there is some overlap between national and state YRBS data; thus, a student could be represented more than once. The YRBS codebook explicitly warns against combining these data.4 Authors pulled state data from the national YRBS and used it to assess state MMLs/RMLs. National YRBS data are nationally representative of high school students but not representative of students in a given state. In some cases, only a small number of schools may be selected within a state for the national YRBS, and individual state and school selection to participate in the national YRBS may vary by survey cycle. Authors used unweighted data; YRBS data are designed to be weighted to capture representative populations.4 Establishing that MML/RML implementation occurred before marijuana use reported in 2017 YRBS data is critical. In 2017, 9 states and Washington, DC, legalized recreational marijuana; yet only 4 had marketplaces open the full year. Authors also used binary variables to classify MMLs/RMLs as present or absent and did not account for their significant heterogeneity across states despite prior research documenting the pitfalls of this approach.5 States and Washington, DC, fielded YRBS in the spring or fall of the survey year, yet no information is provided on how survey timing and MML/RML implementation were handled. Results would be skewed if students surveyed before law enactment were combined with those surveyed after enactment in other states. Finally, using cross-sectional data to model RMLs alone on youth marijuana use is problematic; use may have changed after MML enactment, which in some states occurred a decade before RML passage. A more sophisticated approach would model effects of MMLs/RMLs on marijuana use accounting for timing of law implementation. | | We commend the authors for evaluating potential effects of MMLs/RMLs. However, the significant methodologic flaws described here compel us to question the validity of their findings.

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.

BACKGROUND: Limited data exist on risk factors for illicit stimulant use, including associations between prescription stimulant use/nonmedical use (NMU) and illicit stimulant use. METHODS: We used 2017-2021 data from adults assessed for substance use disorder (SUD) treatment using the National Addictions Vigilance Intervention and Prevention Program Addiction Severity Index-Multimedia Version® tool. Multivariable Poisson regression models analyzed associations between past 30-day prescription stimulant use as prescribed or NMU and past 30-day illicit stimulant use. Separate models examined past 30-day illicit stimulant, methamphetamine, and cocaine use. We explored problem severity across seven biopsychosocial domains (e.g., drug, psychiatric, family) by past 30-day prescription stimulant use/NMU and illicit stimulant use. RESULTS: Among 218,981 assessments, 1.8% reported prescription stimulant NMU; 1.6% reported use as prescribed. Past 30-day prescription stimulant NMU (vs. no use) was associated with past 30-day illicit stimulant use (adjusted prevalence ratio [aPR] [95% CI]: 2.67 [2.59, 2.75]), methamphetamine use (aPR: 2.81 [2.71, 2.92]), and cocaine use (aPR: 3.53 [3.33, 3.74]). Prescription stimulant use as prescribed (vs. no use) was associated with lower prevalence of past 30-day illicit stimulant use. Assessments reporting prescription stimulant NMU (vs. no use, or use as prescribed) appeared more likely to have moderate-to-extreme problem scores across biopsychosocial domains, indicating greater need for treatment or assistance. Assessments reporting prescription stimulant use as prescribed or NMU frequently reported opioids, alcohol, or other substances as their primary substance problem. CONCLUSIONS: Adults using illicit stimulants/nonmedically using prescription stimulants may benefit from care addressing polysubstance use, mental health, social, and recovery support services.

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.

INTRODUCTION: Stigma associated with substance use and addiction is a major barrier to overdose prevention. Although stigma reduction is a key goal of federal strategies to prevent overdose, there is limited data to assess progress made in reducing use of stigmatizing language about addiction. METHODS: Using language guidelines published by the federal National Institute on Drug Abuse (NIDA), we examined trends in use of stigmatizing terms about addiction across four popular public communication modalities: news articles, blogs, Twitter, and Reddit. We calculate percent changes in the rates of articles/posts using stigmatizing terms over a five-year period (2017-2021) by fitting a linear trendline and assess statistically significant trends using the Mann-Kendall test. RESULTS: The rate of articles containing stigmatizing language decreased over the past five years for news articles (-68.2 %, p < 0.001) and blogs (-33.6 %, p < 0.001). Among social media platforms, the rate of posts using stigmatizing language increased (Twitter [43.5 %, p = 0.01]) or remained stable (Reddit [3.1 %, p = 0.29]). In absolute terms, news articles had the highest rate of articles containing stigmatizing terms over the five-year period (324.9 articles per million) compared to 132.3, 18.3, and 138.6 posts per million for blogs, Twitter, and Reddit, respectively. CONCLUSIONS: Use of stigmatizing language about addiction appears to have decreased across more traditional, longer-format communication modalities such as news articles. Additional work is needed to reduce use of stigmatizing language on social media.

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.

This guideline provides recommendations for clinicians providing pain care, including those prescribing opioids, for outpatients aged ≥18 years. It updates the CDC Guideline for Prescribing Opioids for Chronic Pain - United States, 2016 (MMWR Recomm Rep 2016;65[No. RR-1]:1-49) and includes recommendations for managing acute (duration of <1 month), subacute (duration of 1-3 months), and chronic (duration of >3 months) pain. The recommendations do not apply to pain related to sickle cell disease or cancer or to patients receiving palliative or end-of-life care. The guideline addresses the following four areas: 1) determining whether or not to initiate opioids for pain, 2) selecting opioids and determining opioid dosages, 3) deciding duration of initial opioid prescription and conducting follow-up, and 4) assessing risk and addressing potential harms of opioid use. CDC developed the guideline using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework. Recommendations are based on systematic reviews of the scientific evidence and reflect considerations of benefits and harms, patient and clinician values and preferences, and resource allocation. CDC obtained input from the Board of Scientific Counselors of the National Center for Injury Prevention and Control (a federally chartered advisory committee), the public, and peer reviewers. CDC recommends that persons with pain receive appropriate pain treatment, with careful consideration of the benefits and risks of all treatment options in the context of the patient's circumstances. Recommendations should not be applied as inflexible standards of care across patient populations. This clinical practice guideline is intended to improve communication between clinicians and patients about the benefits and risks of pain treatments, including opioid therapy; improve the effectiveness and safety of pain treatment; mitigate pain; improve function and quality of life for patients with pain; and reduce risks associated with opioid pain therapy, including opioid use disorder, overdose, and death.

Pain affects the lives of millions of Americans and potentially reduces their level of function, mental health, and quality of life. Yet limited access to pain treatments and lack of clarity regarding the evidence supporting pain treatments prevent many people with pain from accessing the full range of potentially helpful therapies.1 Furthermore, there are persistent disparities in pain management according to race or ethnic group, gender, socioeconomic status, and population density, among other factors.2 Opioids continue to be commonly used to treat pain, despite evidence that their short-term benefits are small and despite limited evidence of long-term benefits.2,3

Illicit or 'designer' benzodiazepines are a growing contributor to overdose deaths. We employed natural language processing (NLP) to study benzodiazepine mentions over 10 years on 270 online drug forums (subreddits) on Reddit. Using NLP, we automatically detected mentions of illicit and prescription benzodiazepines, including their misspellings and non-standard names, grouping relative mentions by quarter. On a collection of 17 861 755 posts between 2012 and 2021, we searched for 26 benzodiazepines (8 prescription; 18 illicit), detecting 173 275 mentions. The rate of posts about both prescription and illicit benzodiazepines increased consistently with increases in deaths involving both drug classes, illustrating the utility of surveillance via Reddit.

The firearm homicide rate in the United States increased nearly 35% from 2019 to 2020, coinciding with the emergence of the COVID-19 pandemic (1). This increase affected all ages and most population groups, but not equally: existing disparities, including racial and ethnic disparities, widened. The firearm suicide rate was higher than the firearm homicide rate in 2020 and remained consistent with recent years overall; however, increases were observed in some groups (1). To assess potential increases from 2020 to 2021, final 2020 and provisional 2021, National Vital Statistics System mortality data and U.S. Census Bureau population estimates were used to examine all-cause homicide and suicide rates; firearm homicide and suicide rates overall and by sex, age,* race and ethnicity; and the percentage of homicides and suicides from firearm injuries.† This activity was reviewed by CDC and was conducted consistent with applicable federal law and CDC policy.§

In 2020, nearly 92 000 drug overdose deaths occurred in the United States.1 Provisional estimates from the Centers for Disease Control and Prevention (CDC) indicate that overdose deaths continued to rise in 2021.2 The rise in opioid overdose deaths can be described in the following 3 waves3: (1) increase in deaths involving prescription opioids starting in the late 1990s,4 (2) increase in deaths involving heroin starting in 2010,5 and (3) increase in deaths involving synthetic opioids, predominantly illicitly manufactured fentanyl and fentanyl analogs (IMFs), starting in 2013.6,7 Synthetic opioids remain the primary driver of overdose deaths.2,8

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.

BACKGROUND: The United States overdose crisis continues unabated. Despite efforts to increase capacity for treating opioid use disorder (OUD) in the U.S., how actual treatment receipt compares to need remains unclear. In this cross-sectional study, we estimate progress in addressing the gap between OUD prevalence and OUD treatment receipt at the national and state levels from 2010 to 2019. METHODS: We estimated past-year OUD prevalence rates based on the U.S. National Survey on Drug Use and Health (NSDUH), using adjustment methods that attempt to account for OUD underestimation in national household surveys. We used data from specialty substance use treatment records and outpatient pharmacy claims to estimate the gap between OUD prevalence and number of persons receiving medications for opioid use disorder (MOUD) during the past decade. RESULTS: Adjusted estimates suggest past-year OUD affected 7,631,804 individuals in the U.S. in (2,773 per 100,000 adults 12+), relative to only 1,023,959 individuals who received MOUD (365 per 100,000 adults 12+). This implies approximately 86.6% of individuals with OUD nationwide who may benefit from MOUD treatment do not receive it. MOUD receipt increased across states over the past decade, but most regions still experience wide gaps between OUD prevalence and MOUD receipt. CONCLUSIONS: Despite some progress in expanding access to MOUD, a substantial gap between OUD prevalence and treatment receipt highlights the critical need to increase access to evidence-based services.

INTRODUCTION: Drug overdose deaths increased approximately 30% from 2019 to 2020 in the United States. Examining rates by demographic and social determinants of health characteristics can identify disproportionately affected populations and inform strategies to reduce drug overdose deaths. METHODS: Data from the State Unintentional Drug Overdose Reporting System (SUDORS) were used to analyze overdose death rates from 2019 to 2020 in 25 states and the District of Columbia. Rates were examined by race and ethnicity and county-level social determinants of health (e.g., income inequality and treatment provider availability). RESULTS: From 2019 to 2020, drug overdose death rates increased by 44% and 39% among non-Hispanic Black (Black) and non-Hispanic American Indian or Alaska Native (AI/AN) persons, respectively. Significant disparities were found across sex, age, and racial and ethnic subgroups. In particular, the rate in 2020 among Black males aged ≥65 years (52.6 per 100,000) was nearly seven times that of non-Hispanic White males aged ≥65 years (7.7). A history of substance use was frequently reported. Evidence of previous substance use treatment was lowest for Black persons (8.3%). Disparities in overdose deaths, particularly among Black persons, were larger in counties with greater income inequality. Opioid overdose rates in 2020 were higher in areas with more opioid treatment program availability compared with areas with lower opioid treatment availability, particularly among Black (34.3 versus 16.6) and AI/AN (33.4 versus 16.2) persons. CONCLUSIONS AND IMPLICATIONS FOR PUBLIC HEALTH PRACTICE: Health disparities in overdose rates continue to worsen, particularly among Black and AI/AN persons; social determinants of health, such as income inequality, exacerbate these inequities. Implementation of available, evidence-based, culturally responsive overdose prevention and response efforts that address health disparities impacting disproportionately affected populations are urgently needed.

IMPORTANCE: Opioid overdose is a leading public health problem in the United States; however, national data on overdose deaths are delayed by several months or more. OBJECTIVES: To build and validate a statistical model for estimating national opioid overdose deaths in near real time. DESIGN, SETTING, AND PARTICIPANTS: In this cross-sectional study, signals from 5 overdose-related, proxy data sources encompassing health, law enforcement, and online data from 2014 to 2019 in the US were combined using a LASSO (least absolute shrinkage and selection operator) regression model, and weekly predictions of opioid overdose deaths were made for 2018 and 2019 to validate model performance. Results were also compared with those from a baseline SARIMA (seasonal autoregressive integrated moving average) model, one of the most used approaches to forecasting injury mortality. EXPOSURES: Time series data from 2014 to 2019 on emergency department visits for opioid overdose from the National Syndromic Surveillance Program, data on the volume of heroin and synthetic opioids circulating in illicit markets via the National Forensic Laboratory Information System, data on the search volume for heroin and synthetic opioids on Google, and data on post volume on heroin and synthetic opioids on Twitter and Reddit were used to train and validate prediction models of opioid overdose deaths. MAIN OUTCOMES AND MEASURES: Model-based predictions of weekly opioid overdose deaths in the United States were made for 2018 and 2019 and compared with actual observed opioid overdose deaths from the National Vital Statistics System. RESULTS: Statistical models using the 5 real-time proxy data sources estimated the national opioid overdose death rate for 2018 and 2019 with an error of 1.01% and -1.05%, respectively. When considering the accuracy of weekly predictions, the machine learning-based approach possessed a mean error in its weekly estimates (root mean squared error) of 60.3 overdose deaths for 2018 (compared with 310.2 overdose deaths for the SARIMA model) and 67.2 overdose deaths for 2019 (compared with 83.3 overdose deaths for the SARIMA model). CONCLUSIONS AND RELEVANCE: Results of this serial cross-sectional study suggest that proxy administrative data sources can be used to estimate national opioid overdose mortality trends to provide a more timely understanding of this public health problem.

For more than a decade, drug overdose deaths have been the leading cause of injury death in the US. During the COVID-19 pandemic and its related stressors and disruptions in access to care, the number of overdose deaths increased substantially and are predicted to account for more than 107 000 deaths in the US in 2021.1 The unprecedented increase in overdose deaths has been fueled by the continued proliferation of highly lethal synthetic opioids, such as illicitly manufactured fentanyl and fentanyl analogues, and a resurgence of stimulants, particularly methamphetamine, into the illicit drug supply.2 Importantly, as overdose deaths have increased, the demographic profile of those dying has shifted and disproportionately affects certain racial and ethnic minority populations.3 A multisectoral approach that includes structural and policy-level changes and clinician- and health-system–based approaches, with an intentional focus on racial and ethnic disparities and the long-standing inequities that contribute to increased risk for overdose, is essential to respond to this urgent public health crisis.