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Opioids & SU
The Literature Collection contains over 11,000 references for published and grey literature on the integration of behavioral health and primary care. Learn More
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BACKGROUND: Prescription opioid misuse has become a leading cause of unintentional injury and death among adolescents and young adults in the United States. However, there is limited information on how adolescents and young adults obtain prescription opioids. There are also inadequate recent data on the prevalence of additional drug abuse among those misusing prescription opioids. In this study, we evaluated past-year prevalence of prescription opioid use and misuse, sources of prescription opioids, and additional substance use among adolescents and young adults. METHODS AND FINDINGS: This was a retrospective analysis of the National Survey on Drug Use and Health (NSDUH) for the years 2015 and 2016. Prevalence of opioid use, misuse, use disorder, and additional substance use were calculated with 95% confidence intervals (CIs), stratified by age group and other demographic variables. Sources of prescription opioids were determined for respondents reporting opioid misuse. We calculated past-year prevalence of opioid use and misuse with or without use disorder, sources of prescription opioids, and prevalence of additional substance use. We included 27,857 adolescents (12-17 years of age) and 28,213 young adults (18-25 years of age) in our analyses, corresponding to 119.3 million individuals in the extrapolated national population. There were 15,143 respondents (27.5% [95% CI 27.0-28.0], corresponding to 32.8 million individuals) who used prescription opioids in the previous year, including 21.0% (95% CI 20.4-21.6) of adolescents and 32.2% (95% CI 31.4-33.0) of young adults. Significantly more females than males reported using any prescription opioid (30.3% versus 24.8%, P < 0.001), and non-Hispanic whites and blacks were more likely to have had any opioid use compared to Hispanics (28.9%, 28.1%, and 25.8%, respectively; P < 0.001). Opioid misuse was reported by 1,050 adolescents (3.8%; 95% CI 3.5-4.0) and 2,207 young adults (7.8%; 95% CI 7.3-8.2; P < 0.001). Male respondents using opioids were more likely to have opioid misuse without use disorder compared with females (23.2% versus 15.8%, respectively; P < 0.001), with similar prevalence by race/ethnicity. Among those misusing opioids, 55.7% obtained them from friends or relatives, 25.4% from the healthcare system, and 18.9% through other means. Obtaining opioids free from friends or relatives was the most common source for both adolescents (33.5%) and young adults (41.4%). Those with opioid misuse reported high prevalence of prior cocaine (35.5%), hallucinogen (49.4%), heroin (8.7%), and inhalant (30.4%) use. In addition, at least half had used tobacco (55.5%), alcohol (66.9%), or cannabis (49.9%) in the past month. Potential limitations of the study are that we cannot exclude selection bias in the study design or socially desirable reporting among participants, and that longitudinal data are not available for long-term follow-up of individuals. CONCLUSIONS: Results from this study suggest that the prevalence of prescription opioid use among adolescents and young adults in the US is high despite known risks for future opioid and other drug use disorders. Reported prescription opioid misuse is common among adolescents and young adults and often associated with additional substance abuse, underscoring the importance of drug and alcohol screening programs in this population. Prevention and treatment efforts should take into account that greater than half of youths misusing prescription opioids obtain these medications through friends and relatives.


We are in a youth mental health crisis with unprecedented and staggeringly high rates of suicidal ideations and suicide behaviors in preteens. In the United States, 14.5% of children aged 9-10 have experienced suicidal thoughts and behaviors, including 1.3% with a suicide attempt. American Academy of Pediatrics guidelines call for universal suicide risk screening of youth aged 12 years and older during preventative health care visits and screening in preteens aged 8-11 years when clinically indicated. However, what constitutes a clinical indication at 8-11 years can be difficult to systematically detect, and pediatric practitioners may not be equipped with necessary age-specific assessment tools. This is compounded by the lack of emphasis on preteen suicide risk screening (and focus on adolescents), which leaves practitioners without age-appropriate resources to make clinical determinations for at-risk preteens. The objective of this project was to develop an evidence-informed suicide risk screening pathway for pediatric practitioners to implement with preteen patients in outpatient settings. Suicide risk assessment in younger children (<8 years) is also briefly addressed. We convened a group of researchers and practitioners with expertise in preadolescent suicide, pediatric medicine, behavioral health screening integration with primary care, and child development. They reviewed the empirical literature and existing practice guidelines to iterate on a multi-informant clinical suicide risk screening pathway for preteens that includes both caregivers and preteens in the screening process. We also developed tools and accompanying guidelines for a preteen suicide risk screening workflow and risk determination to aid practitioners in deciding who, when, and how to screen. Finally, we provide scripts for introducing suicide risk screening to caregivers and preteens and to discuss screening findings.

IMPORTANCE: The incidence of opioid use during pregnancy is increasing, and drug overdoses are a leading cause of postpartum mortality. Most women who are pregnant do not receive medications for treatment of opioid use disorder, despite the mortality benefit that these agents confer. Furthermore, buprenorphine is associated with milder symptoms of neonatal abstinence syndrome (NAS) compared with methadone. OBJECTIVE: To describe the prevalence and geographic distribution across the US of obstetrician-gynecologists who can prescribe buprenorphine (henceforth described as X-waivered) in 2019. DESIGN, SETTING, AND PARTICIPANTS: A cross-sectional, nationwide study linking physician-specific data to county- and state-level data was conducted from September 1, 2019, to March 31, 2020. Data were obtained on 31 211 obstetrician-gynecologists who accept Medicaid insurance through the Centers for Medicare & Medicaid Services Physician Compare data set and linked to the Drug Addiction Treatment Act buprenorphine-waived clinician list. EXPOSURES: State-level NAS incidence and county-level uninsured rates and rurality. MAIN OUTCOMES AND MEASURES: Prevalence and geographic distribution of obstetrician-gynecologists who are trained to prescribe buprenorphine. RESULTS: Among the 31 211 identified obstetrician-gynecologists, 18 710 (59.9%) were women. Most had hospital privileges (23 236 [74.4%]) and worked in metropolitan counties (28 613 [91.7%]). Only 560 of the identified obstetrician-gynecologists (1.8%) were X-waivered. Obstetrician-gynecologists in counties with fewer than 5% uninsured residents had nearly twice the odds of being X-waivered (adjusted odds ratio [aOR], 1.59; 95% CI, 1.04-2.44; P = .04) compared with those in counties with greater than 15% uninsured residents. Compared with those located in metropolitan counties, obstetrician-gynecologists in suburban counties (eg, urban population of ≥20 000 and adjacent to a metropolitan area) were more likely to be X-waivered (aOR, 1.85; 95% CI, 1.26-2.71; P = .002). Compared with states with an NAS rate of 5 per 1000 births or less, obstetrician-gynecologists in states with an NAS rate of 15 per 1000 births or greater had nearly 5 times the odds of being X-waivered (aOR, 4.94; 95% CI, 3.60-6.77; P < .001). Obstetrician-gynecologists without hospital privileges were more likely to be X-waivered (aOR, 1.32; 95% CI, 1.08-1.61; P = .007). CONCLUSIONS AND RELEVANCE: Fewer than 2% of obstetrician-gynecologists who accept Medicaid are able to prescribe buprenorphine, and their geographic distribution appears to be skewed in favor of suburban counties. This finding suggests that there is an opportunity for health systems and professional societies to incentivize X-waiver trainings among obstetrician-gynecologists to increase patients' access to buprenorphine, especially during pregnancy.
BACKGROUND: Posttraumatic stress disorder (PTSD) is often underdiagnosed based on medical records. This study aimed to estimate the prevalence and health care utilization of individuals with PTSD and other trauma-related disorders in a large, integrated health care system. METHODS: Adults (between the ages of 18 and 65) with Kaiser Permanente Northern California membership and ≥ 1 outpatient visit in 2022 were eligible. Unspecified/other specified trauma and stressor-related disorder, acute stress disorder, and PTSD were based on diagnosis codes from the International Classification of Diseases, 10th Revision, Clinical Modification. The Primary Care PTSD (PC-PTSD) Scale was used as a screening tool. Prevalence was assessed overall and among the subset of patients seen in primary care, psychiatry, and addiction medicine. To contextualize health care utilization, the authors compared patients with trauma-related disorders to those with major depressive disorder. RESULTS: Of the 2,128,670 eligible adults, the overall prevalence of trauma-related diagnoses and positive screening on PC-PTSD was 4.9% (103,947); 1.3% (n = 27,670) had PTSD, 1.9% (n = 41,205) had unspecified/other specified trauma and stressor-related disorder, 0.1% (n = 1818) had acute stress disorder, and 1.6% (n = 33,254) screened positive on PC-PTSD without a trauma-related International Classification of Diseases code. Prevalence of trauma-related diagnoses by department was 18.3% (n = 47,516) in psychiatry, 16.5% (n = 3816) in addiction medicine, and 3.4% (n = 67,469) in primary care. There were no clinically meaningful differences in health care utilization between those with trauma-related diagnoses compared with major depressive disorder. CONCLUSION: Broadly defining trauma-related disorders and substantial symptoms may provide a more accurate representation of the actual prevalence of PTSD in a health care system. These data may help health care leaders plan treatment options for this diverse group of individuals.
BACKGROUND: Hepatitis C and HIV are associated with opioid use disorders (OUD) and injection drug use. Medications for OUD can prevent the spread of HCV and HIV. OBJECTIVE: To describe the prevalence of documented OUD, as well as receipt of office-based medication treatment, among primary care patients with HCV or HIV. DESIGN: Retrospective observational cohort study using electronic health record and insurance data. PARTICIPANTS: Adults ≥ 18 years with ≥ 2 visits to primary care during the study (2014-2016) at 6 healthcare systems across five states (CO, CA, OR, WA, and MN). MAIN MEASURES: The primary outcome was the diagnosis of OUD; the secondary outcome was OUD treatment with buprenorphine or oral/injectable naltrexone. Prevalence of OUD and OUD treatment was calculated across four groups: HCV only; HIV only; HCV and HIV; and neither HCV nor HIV. In addition, adjusted odds ratios (AOR) of OUD treatment associated with HCV and HIV (separately) were estimated, adjusting for age, gender, race/ethnicity, and site. KEY RESULTS: The sample included 1,368,604 persons, of whom 10,042 had HCV, 5821 HIV, and 422 both. The prevalence of diagnosed OUD varied across groups: 11.9% (95% CI: 11.3%, 12.5%) for those with HCV; 1.6% (1.3%, 2.0%) for those with HIV; 8.8% (6.2%, 11.9%) for those with both; and 0.92% (0.91%, 0.94%) among those with neither. Among those with diagnosed OUD, the prevalence of OUD medication treatment was 20.9%, 16.0%, 10.8%, and 22.3%, for those with HCV, HIV, both, and neither, respectively. HCV was not associated with OUD treatment (AOR = 1.03; 0.88, 1.21), whereas patients with HIV had a lower probability of OUD treatment (AOR = 0.43; 0.26, 0.72). CONCLUSIONS: Among patients receiving primary care, those diagnosed with HCV and HIV were more likely to have documented OUD than those without. Patients with HIV were less likely to have documented medication treatment for OUD.



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