Sources of Misused Prescription Opioids and Their Association with Prescription Opioid Use Disorder in the United States: Sex and Age Differences.
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2020-01-24
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Abstract
Background: Prescription opioid (PO) misuse and prescription opioid use disorder (POUD) are a national crisis in the USA. To inform strategies for reducing the PO epidemic, research is needed on the sources of misused POs and their association with POUD. Methods: Past-year PO misusers aged ā„12 (Nā=ā6033) from the 2015 to 2016 National Surveys on Drug Use and Health were analyzed. The most recent source of misused POs was assessed. Logistic regression analyses were used to determine the association between the sources of misused POs and past-year POUD. All analyses were stratified by age groups for each sex. Results: Overall, the most common sources of misused POs were obtaining from friends/relatives for free (40.27%) and physicians (36.59%). Males had a higher prevalence of buying POs from friends/relatives or drug dealers/strangers than females. Significant age differences also emerged. Buying POs from drug dealers/strangers (vs. obtaining POs free from friends/relatives) was strong predictor of past-year POUD in both sexes. In the sex- and age-stratified analyses, significant associations of past-year POUD with (1) buying from drug dealers/strangers emerged among males aged 18+ and females aged 26+; (2) buying from friends/relatives emerged among males aged 12+ and females aged 18-25; (3) obtaining from physicians emerged among males aged 18+ and females aged 26+. Conclusions: Our findings indicate different risk profiles for POUD across sex and age groups with different diversion sources. Prevention and treatment programs for POUD should be tailored to consider sex and developmental age differences in sources of opioids.
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Park, Ji-Yeun, and Li-Tzy Wu (2020). Sources of Misused Prescription Opioids and Their Association with Prescription Opioid Use Disorder in the United States: Sex and Age Differences. Substance use & misuse. pp. 1ā9. 10.1080/10826084.2020.1713818 Retrieved from https://hdl.handle.net/10161/19917.
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Li-Tzy Wu
Education/Training: Pre- and post-doctoral training in mental health service research, psychiatric epidemiology (NIMH T32), and addiction epidemiology (NIDA T32) from Johns Hopkins University School of Public Health (Maryland); Fellow of the NIH Summer Institute on the Design and Conduct of Randomized Clinical Trials.
Director: Duke Community Based Substance Use Disorder Research Program.
Research interests: COVID-19, Opioid misuse, Opioid overdose, Opioid use disorder, Opioid addiction prevention and treatment, Pain and addiction, Chronic diseases and substance use disorders, diabetes, pharmacy-based care models and services, medication treatment for opioid use disorder (MOUD), Drug overdose, Polysubstance use and disorders, cannabis, alcohol, tobacco, hallucinogens, stimulants, e-cigarette, SBIRT (substance use Screening, Brief Intervention, Referral to Treatment), EHR-based research and intervention, data science, psychometric analysis (IRT), epidemiology of addictions and comorbidity, behavioral health care integration, health services research (mental health disorders, substance use disorders, chronic diseases), nosology, research design, HIV risk behavior.
FUNDED Research projects (Principal Investigator [PI], Site PI, or Sub-award PI):
R03: Substance use/dependence (PI).
R21: Treatment use for alcohol use disorders (PI).
R21: Inhalant use & disorders (PI).
R01: MDMA/hallucinogen use/disorders (PI).
R01: Prescription pain reliever (opioids) misuse and use disorders (PI).
R01: Substance use disorders in adolescents (PI).
R21: CTN Substance use diagnoses & treatment (PI).
R33: CTN Substance use diagnoses & treatment (PI).
R01: Evolution of Psychopathology in the Population (ECA Duke site PI).
R01: Substance use disorders and treatment use among Asian Americans and Pacific Islanders (PI).
UG1: SBIRT in Primary Care (NIDA, PI).
UG1: TAPS Tool, Substance use screening tool validation in primary care (NIDA, PI).
UG1: NIDA CTN Mid-Southern Node (Clinical Trials Network, PI).
UG1: EHR Data Element Study (NIDA, PI).
UG1: Buprenorphine Physician-Pharmacist Collaboration in the Management of Patients With Opioid Use Disorder (NIDA, PI).
PCORI: INSPIRE-Integrated Health Services to Reduce Opioid Use While Managing Chronic Pain (Site PI).
CDC R01: Evaluation of state-mandated acute and post-surgical pain-specific CDC opioid prescribing (Site PI).
Pilot: Measuring Opioid Use Disorders in Secondary Electronic Health Records Data (Carolinas Collaborative Grant: Duke PI).
R21: Developing a prevention model of alcohol use disorder for Pacific Islander young adults (Subaward PI, Investigator).
UG1: Subthreshold Opioid Use Disorder Prevention Trial (NIH HEAL Initiative) (NIDA supplement, CTN-0101, Investigator).
NIDA: A Pilot Study to Permit Opioid Treatment Program Physicians to Prescribe Methadone through Community Pharmacies for their Stable Methadone Patients (NIDA/FRI: Study PI).
UG1: Integrating pharmacy-based prevention and treatment of opioid and other substance use disorders: A survey of pharmacists and stakeholder (NIH HEAL Initiative, NIDA, PI).
UG1: NorthStar Node of the Clinical Trials Network (NIDA, Site PI).
R34: Intervention Development and Pilot Study to Reduce Untreated Native Hawaiian and Pacific Islander Opioid Use Disorders (Subaward PI, Investigator).
UG1: Optimal Policies to Improve Methadone Maintenance Adherence Longterm (OPTIMMAL Study) (NIDA, Site PI).
R01: Increasing access to opioid use disorder treatment by opening pharmacy-based medication units of opioid treatment programs (NIDA, PI)
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