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BACKGROUND: A population-based follow-up study assessing the risk of developing hypertension and diabetes associated with alcohol use disorder (AUD) is crucial. We investigated this relationship by using insurance claims data from Taiwan. METHODS: From the claims data, an AUD cohort (N = 60,590) diagnosed between 2000 and 2006 and a non-AUD comparison cohort (N = 60,590) without the diagnosis of hypertension or diabetes at baseline were established and matched by propensity scores estimated by baseline demographic status and the Charlson comorbidity index (CCI). We assessed the incidence rates of hypertension and/or diabetes at the end of 2016 and used Cox's method to estimate the related hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: Relative to the comparison cohort, the AUD cohort had an approximately 1.70-fold higher incidence of hypertension (35.1 vs. 20.7 per 1,000 person-years), with an adjusted HR (aHR) of 1.72 (95% CI: 1.68-1.76), 2.16-fold higher incidence of diabetes (20.2 vs. 9.36 per 1,000 person-years), with an aHR of 2.18 (95% CI: 2.11-2.24), and 1.91-fold higher incidence of both diabetes and hypertension (10.3 vs. 5.38 per 1,000 person-years) with an aHR of 2.02 (95% CI: 1.94-2.10). The incidence rates of all outcomes were greater in men than in women, whereas the HRs were greater for AUD in women than for AUD in men relative to the respective comparison patients. The risk increased further for subjects with CCI ≥ 1, which was higher in the AUD cohort. CONCLUSIONS: The increased risk of developing diabetes and hypertension in patients with AUD, especially the differences noted according to gender, indicates that clinicians should address potential comorbidities in these patients.
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Alcoholismo , Diabetes Mellitus , Hipertensión , Masculino , Humanos , Femenino , Alcoholismo/epidemiología , Factores de Riesgo , Estudios de Seguimiento , Estudios Retrospectivos , Diabetes Mellitus/epidemiología , Hipertensión/epidemiología , Comorbilidad , Incidencia , Taiwán/epidemiologíaRESUMEN
This study examined mental health service utilization and disparities during the first year of COVID. We analyzed data from all adult respondents with any mental illness in the past year (n = 6967) in the 2020 National Survey on Drug Use and Health to evaluate if mental health service utilization differed by geographic areas, race/ethnicity, and age groups. Only 46% of individuals with any mental illness had received mental health treatment. Compared to non-Hispanic Whites, Asian and Hispanics were less likely to receive outpatient services and prescription medicine. Rural residents received less outpatient treatment compared to large metropolitan residents. No difference was found in telemedicine utilization across area types and race/ethnicity groups. Older individuals were less likely to utilize telemedicine services. Our findings highlighted continued mental health treatment disparities among race/ethnic minorities and other sub-populations during COVID. Targeted strategies are warranted to allow older populations to benefit from telemedicine.
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COVID-19 , Servicios de Salud Mental , Adulto , Humanos , Estados Unidos/epidemiología , Pandemias , COVID-19/epidemiología , Etnicidad , BlancoRESUMEN
Although numerous studies have shown that child obesity is associated with internalizing symptoms, relatively few studies have examined the role of parenting behaviors on this relationship. Youth meeting obesity status may be at higher risk of psychosocial maladjustment when exposed to more vulnerable parenting contexts. The current study interviewed mothers with a history of substance abuse to assess whether parenting behaviors moderated the relationship between obesity and internalizing symptoms among adolescents (N = 160; 51% girls; M = 12.76 years). Hierarchical regression analyses identified physical discipline as a moderator; girls meeting obesity status displayed higher levels of internalizing symptoms when exposed to higher versus lower levels of physical discipline. Prevention/intervention efforts targeting mothers with substance abuse histories should aim to not only improve physical and emotional health but also highlight the connections between physical and emotional health and the influence of parenting behaviors on associations.
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Background: Only 1 in 5 of the nearly 2.4 million Americans with an opioid use disorder received treatment in 2015. Fewer than half of Californians who received treatment in 2014 received opioid agonist treatment (OAT), and regulations for admission to OAT in California are more stringent than federal regulations. Objective: To determine the cost-effectiveness of OAT for all treatment recipients compared with the observed standard of care for patients presenting with opioid use disorder to California's publicly funded treatment facilities. Design: Model-based cost-effectiveness analysis. Data Sources: Linked population-level administrative databases capturing treatment and criminal justice records for California (2006 to 2010); published literature. Target Population: Persons initially presenting for publicly funded treatment of opioid use disorder. Time Horizon: Lifetime. Perspective: Societal. Intervention: Immediate access to OAT with methadone for all treatment recipients compared with the observed standard of care (54.3% initiate opioid use disorder treatment with medically managed withdrawal). Outcome Measures: Discounted quality-adjusted life-years (QALYs) and discounted costs. Results of Base-Case Analysis: Immediate access to OAT for all treatment recipients costs less (by $78 257), with patients accumulating more QALYs (by 0.42) than with the observed standard of care. In a hypothetical scenario where all Californians starting treatment of opioid use disorder in 2014 had immediate access to OAT, total lifetime savings for this cohort could be as high as $3.8 billion. Results of Sensitivity Analysis: 99.6% of the 2000 simulations resulted in lower costs and more QALYs. Limitation: Nonrandomized delivery of OAT or medically managed withdrawal. Conclusion: The value of publicly funded treatment of opioid use disorder in California is maximized when OAT is delivered to all patients presenting for treatment, providing greater health benefits and cost savings than the observed standard of care. Primary Funding Source: National Institute on Drug Abuse.
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Metadona/uso terapéutico , Narcóticos/uso terapéutico , Tratamiento de Sustitución de Opiáceos/economía , Trastornos Relacionados con Opioides/tratamiento farmacológico , Adulto , California/epidemiología , Análisis Costo-Beneficio , Femenino , Humanos , Masculino , Trastornos Relacionados con Opioides/epidemiología , Años de Vida Ajustados por Calidad de VidaRESUMEN
BACKGROUND: Few studies have focused on Asian Americans and Pacific Islanders (AAPIs), despite indications of increasing substance abuse among AAPIs in recent years. OBJECTIVES: This prospective longitudinal study examined gender differences among AAPIs in treatment. METHODS: The study included 567 (177 women, 390 men) AAPI patients drawn from two prior studies, one with 32 community treatment programs in 13 California counties (CalTOP, 3, 9 months), and another project including 36 treatment sites in 5 California counties (TSI, 3, 12 months). Baseline and follow-up assessments utilized the Addiction Severity Index(ASI). A subset of patients was assessed at 3 and 9/12 months (n = 106). RESULTS: Significant gender-related differences were observed at baseline: fewer women than men were employed or never married. More women were living with someone having alcohol and drug problems. Methamphetamine was the primary drug for women and men, followed by alcohol and heroin. Compared to AAPI men, AAPI women reported greater problem severity in family/social relationships (0.18 vs. 0.11, p <.001), employment (0.68 vs. 0.56, p <.001), and mental health (0.19 vs. 0.14, p <.01). Relative to women, AAPI men reported greater treatment satisfaction at the 3-month follow-up. Significant improvements at follow-up were observed in family, alcohol, drug, and legal domains for both genders, and in mental health for men only. Compared to AAPI men, AAPI women demonstrated significantly greater improvements in drug problems (ΔASI = 0.07, p <.05). CONCLUSIONS: Gender differences revealed in this study suggest a need for a greater treatment focus on psychiatric problems for AAPI women and drug use problems for AAPI men.
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Trastornos Relacionados con Sustancias , Asiático , California , Femenino , Humanos , Estudios Longitudinales , Masculino , Nativos de Hawái y Otras Islas del Pacífico , Estudios ProspectivosRESUMEN
This study examines perceived neighborhood characteristics associated with successful outcome among mothers 10 years after being treated for substance use disorders. Data were obtained from 713 mothers first studied at admission to drug treatment in California in 2000-2002 and followed up in 2009-2011. At follow-up, 53.6% of mothers had a successful outcome (i.e., no use of illicit drugs and not involved with the criminal justice system). Perceived neighborhood safety almost doubled the odds of success. Perceived neighborhood safety interacted with social involvement, decreasing the odds of success among mothers who reported more versus less neighborhood social involvement. Perceived neighborhood climate is associated with long-term outcomes among mothers with substance use disorders independent of individual-level characteristics, underscoring the need for further efforts to understand its interaction with recovery capital in ways that promote and impede health.
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Percepción , Características de la Residencia , Seguridad , Medio Social , Trastornos Relacionados con Sustancias/rehabilitación , Adulto , Femenino , Estudios de Seguimiento , Humanos , Madres , Factores de Riesgo , Resultado del Tratamiento , Adulto JovenRESUMEN
This study examines the barriers and facilitators of retention among patients receiving buprenorphine/naloxone at eight community-based opioid treatment programs across the United States. Participants (n = 105) were recruited up to three and a half years after having participated in a randomized clinical trial comparing the effect of buprenorphine/naloxone and methadone on liver function. Semi-structured interviews were conducted with 67 patients provided with buprenorphine/naloxone who had terminated early and 38 patients who had completed at least 24 weeks of the trial. Qualitative data were analyzed using the constant comparison method. Barriers to buprenorphine/naloxone retention that emerged included factors associated with: (1) the design of the clinical trial; (2) negative medication or treatment experience; and (3) personal circumstances. The facilitators comprised: (1) positive experience with the medication; (2) personal determination and commitment to complete; and (3) staff encouragement and support. The themes drawn from interviews highlight the importance of considering patients' prior experience with buprenorphine/naloxone and methadone, medication preference, personal circumstances, and motivation to abstain from illicit use or misuse of opioids, as these may influence retention. Ongoing education of patients and staff regarding buprenorphine/naloxone, especially in comparison to methadone, and support from staff and peers are essential.
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Buprenorfina/administración & dosificación , Naloxona/administración & dosificación , Trastornos Relacionados con Opioides/rehabilitación , Adulto , Femenino , Humanos , Masculino , Persona de Mediana Edad , Investigación Cualitativa , Proyectos de InvestigaciónRESUMEN
PURPOSE: To investigate the prevalence of opioid use disorder (OUD) and medication treatment for OUD (MOUD) receipt in rural primary care settings and identify characteristics associated with MOUD among patients with OUD. METHODS: Secondary analyses based on electronic health records of all adult patients who visited 1 of the 6 rural primary care clinic sites from October 2019 to January 2021. Mixed effects logistic regression was conducted to assess MOUD receipt (Y/N) in relation to patient characteristics (eg, demographics, other substance use disorders [SUDs], mental health disorders, and chronic pain) and the number of MOUD prescribers per clinic. FINDINGS: The prevalence of OUD varied from 0.7% to 8.2% (Mean [SD] = 3.3% [95% CI: 0.4, 6.1]) among 36,762 primary care patients across 6 clinic sites. Among 1,164 patients with OUD, on average 50.1% received MOUD (95% CI: 28.0, 72.3). Patients in clinics with more than 3 MOUD prescribers had more than 3 times the odds of receiving MOUD (OR = 3.42; 95% CI, 1.22-9.62) as those in clinics with fewer than 3 prescribers. MOUD was positively associated with younger age (18-30 [OR = 6.97; 95% CI, 3.37-14.42], 31-64 [OR = 5.03; 95% CI, 2.64-9.57], relative to those 65 and older), having other co-occurring SUDs (OR = 3.77; 95% CI, 2.57-5.52), being male (OR = 1.50; 95% CI, 1.12-2.01), and negatively associated with having chronic pain disorders (OR = 0.69; 95% CI, 0.50-0.94). CONCLUSIONS: The prevalence of OUD and MOUD are high but vary considerably across rural primary care clinics; primary care MOUD prescribers play a key role on MOUD access in rural settings.
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Dolor Crónico , Trastornos Relacionados con Opioides , Adulto , Humanos , Masculino , Femenino , Dolor Crónico/tratamiento farmacológico , Dolor Crónico/epidemiología , Trastornos Relacionados con Opioides/tratamiento farmacológico , Trastornos Relacionados con Opioides/epidemiología , Instituciones de Atención Ambulatoria , Registros Electrónicos de Salud , Atención Primaria de SaludRESUMEN
INTRODUCTION: Opioid and alcohol use disorders are increasingly being addressed in primary care, yet how medications to treat these disorders are prescribed in rural regions is unknown. METHODS: We determined prevalence, types, and duration of medication prescription for opioid and/or alcohol use disorder among adult patients in rural primary clinics. The sample included 1874 adult patients who visited one of six rural primary care sites in the Northeastern and Northwestern United States at least once from October 2019 to January 2021 and had a diagnosis code for opioid use disorder (OUD), alcohol use disorder (AUD), or co-occurring opioid and alcohol use disorder (OUD + AUD) during that time. RESULTS: Patients with OUD + AUD were more likely to be prescribed medication for at least one of these disorders (85.3 %) than patients with OUD only (63.7 %) or AUD only (10.3 %). Further, the OUD + AUD group had the highest number of days on medication (M = 264.7), followed by OUD only (M = 220.5), then the AUD only group (M = 62.5). Only 8.8 % of patients with OUD + AUD were prescribed naltrexone or medication for OUD + AUD to treat both substance use disorders. CONCLUSIONS: Medications for treating AUD as well as OUD are available, but few patients with OUD + AUD and even fewer with AUD received pharmacological treatment for AUD. The current work highlights the need for rural clinicians to consider medications for AUD as an important treatment method for patients with AUD only or OUD + AUD.
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Alcoholismo , Trastornos Relacionados con Opioides , Atención Primaria de Salud , Población Rural , Humanos , Trastornos Relacionados con Opioides/tratamiento farmacológico , Trastornos Relacionados con Opioides/epidemiología , Masculino , Femenino , Alcoholismo/tratamiento farmacológico , Alcoholismo/epidemiología , Adulto , Persona de Mediana Edad , Naltrexona/uso terapéutico , Estados Unidos/epidemiología , Prevalencia , Tratamiento de Sustitución de OpiáceosRESUMEN
BACKGROUND: Co-occurring substance use disorders (SUDs) among individuals with opioid use disorder (OUD) are associated with additional impairment, overdose, and death. This study examined characteristics of patients who have OUD with and without co-occurring SUDs in rural primary care clinics. METHODS: Secondary analysis used electronic health record (EHR) data from six rural primary care clinics, including demographics, diagnoses, encounters, and prescriptions of medication for OUD (MOUD), as well as EHR data from an external telemedicine vendor that provided MOUD to some clinic patients. The study population included all adult patients who had a visit to the participating clinics from October 2019 to January 2021. RESULTS: We identified 1164 patients with OUD; 72.6 % had OUD only, 11.5 % had OUD and stimulant use disorder (OUD + StUD), and 15.9 % had OUD and other non-stimulant substance use disorder (OUD + Other). The OUD + StUD group had the highest rates of hepatitis C virus (25.4 % for OUD + StUD, 17.8 % for OUD + Other, and 7.5 % for OUD Only; p < 0.001) and the highest rates of mental health disorders (78.4 %, 69.7 %, and 59.9 %, respectively; p < 0.001). Compared to the OUD Only group, patients in the OUD + StUD and OUD + Other groups were more likely to receive telehealth services provided by clinic staff, in-clinic behavioral health services, and in-clinic MOUD. The OUD + StUD group had the highest proportion of referrals to the external telemedicine vendor. CONCLUSIONS: More than 27 % of patients with OUD in rural primary care clinics had other co-occurring SUDs, and these patients received more healthcare services than those with OUD only. Future studies should examine variations in outcomes associated with these other services among patients with OUD and co-occurring SUDs.
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Sobredosis de Droga , Trastornos Relacionados con Opioides , Adulto , Humanos , Instituciones de Atención Ambulatoria , Hepacivirus , Trastornos Relacionados con Opioides/epidemiología , Atención Primaria de SaludRESUMEN
OBJECTIVES: Factors associated with treatment retention on medications for opioid use disorder (MOUD) in rural settings are poorly understood. This study examines associations between social determinants of health (SDoH) and MOUD retention among patients with opioid use disorder (OUD) in rural primary care settings. METHODS: We analyzed patient electronic health records from 6 rural clinics. Participants (N = 575) were adult patients with OUD and had any prescription for MOUD from October 2019 to April 2020. MOUD retention was measured by MOUD days and continuity defined as continuous 180 MOUD days with no more than a 7-day gap. Mixed-effect regressions assessed associations between the outcomes and SDoH (Medicaid insurance, social deprivation index [SDI], driving time from home to the clinic), telehealth use, and other covariates. RESULTS: Mean patient MOUD days were 127 days (SD = 50.7 days). Living in more disadvantaged areas (based on SDI) (adjusted relative risk [aRR]: 0.98; 95% confidence interval [CI], 0.98-0.99) and having more than an hour (compared with an hour or less) driving time from home to clinic (aRR: 0.95; 95% CI, 0.93-0.97) were associated with fewer MOUD days. Using telehealth was associated with more MOUD days (aRR: 1.23; 95% CI, 1.21-1.26). In this cohort, 21.7% of the participants were retained on MOUD for at least 180 days. SDoH and use of telehealth were not associated with having continuity of MOUD. CONCLUSIONS: Addressing SDoH (eg, SDI) and providing telehealth (eg, improvements in public transportation, internet access) may improve MOUD days in rural settings.
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Tratamiento de Sustitución de Opiáceos , Trastornos Relacionados con Opioides , Atención Primaria de Salud , Población Rural , Determinantes Sociales de la Salud , Humanos , Masculino , Femenino , Trastornos Relacionados con Opioides/tratamiento farmacológico , Adulto , Persona de Mediana Edad , Población Rural/estadística & datos numéricos , Tratamiento de Sustitución de Opiáceos/estadística & datos numéricos , Telemedicina/estadística & datos numéricos , Estados Unidos , Continuidad de la Atención al Paciente/estadística & datos numéricos , Servicios de Salud Rural/estadística & datos numéricosRESUMEN
INTRODUCTION: Rural primary care clinics can expand their medication treatment for opioid use disorder (MOUD) capacity by coordinating care with external telemedicine (TM) vendors specializing in addiction medicine. This study used mixed methods to identify factors that influence patient referrals from rural primary care clinics to TM vendors for MOUD. METHODS: Between July/August 2020 and January/February 2021, 582 patients with OUD were identified across six primary care sites; that included 68 referred to an external TM vendor to receive MOUD. Mixed effects logistic regression identified individual and site-level factors associated with being referred to the TM vendor. Clinic providers and staff participated in in-depth interviews and focus groups to discuss their considerations for referring patients to the TM vendor. RESULTS: Patient referrals were positively associated with local household broadband coverage (OR = 2.55, p < 0.001) and negatively associated with local population density (OR = 0.01, p = 0.003) and the number of buprenorphine prescribers in the county (OR = 0.85, p < 0.001). Clinic personnel expressed appreciation for psychiatric expertise and the flexibility to access MOUD brought by the TM vendor. Perceived concerns about TM referral included a lack of trust with external providers, uncertainty about TM service quality, workflow delays, and patients' technological and insurance challenges. CONCLUSION: This study revealed several clinic-level factors that may potentially influence patient referral to TM vendor services for MOUD. To facilitate the referral process and utilization of TM vendors, efforts should be made to foster open communication and trust between clinic providers and TM vendors, streamline workflows, and improve Internet access for patients.
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BACKGROUND: Substance use is a public crisis in the U.S. Substance use can be understood as a series of events in the life course, from initiation to mortality. Social Determinants of Health (SDoH) have increasingly been recognized as essential contributors to individuals' health. This scoping review aims to examine available evidence of SDoH impact on the life course of substance use disorder (SUD). METHODS: This study identified peer-reviewed articles that reported longitudinal studies with SDoH factors as independent variables and substance use and disorders as dependent variables from PubMed, Embase, and Web of Science. The reported associations between SDoH and substance use stages over the life course were narratively and graphically summarized. RESULTS: Among the 50 studies identified, ten revealed parental monitoring/support and early childhood education as protective factors, while negative peer influences and neighborhood instability were risk factors of substance use initiation. Nineteen articles reported factors associated with escalation in substance use, including unemployment, neighborhood vulnerability, negative peer influence, violence/trauma, and criminal justice system (CJS) involvement. Ten articles suggested that employment, social support, urban living, and low-barrier medication treatment facilitated treatment participation, while stigma and CJS involvement had negative impact on treatment trajectory. Social support and employment could foster progress in recovery and CJS involvement and unstable housing deterred recovery. Four studies suggested that unemployment, unstable housing, CJS involvement, and lack of social support were associated with overdose and mortality. CONCLUSIONS: This review underscores the influence of social networks and early life experiences on the life course of SUD. Future SDoH research should investigate overdose and mortality and the impact of broader upstream SDoH on SUD. Interventions addressing these social factors are needed to mitigate their detrimental effects on the trajectories of SUD over the life course.
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BACKGROUND AND AIMS: International Classification of Diseases (ICD) diagnosis codes are often used in research to identify patients with opioid use disorder (OUD), but their accuracy for this purpose is not fully evaluated. This study describes application of ICD-10 diagnosis codes for opioid use, dependence and abuse from an electronic health record (EHR) data extraction using data from the clinics' OUD patient registries and clinician/staff EHR entries. DESIGN: Cross-sectional observational study. SETTING: Four rural primary care clinics in Washington and Idaho, USA. PARTICIPANTS: 307 patients. MEASUREMENTS: This study used three data sources from each clinic: (1) a limited dataset extracted from the EHR, (2) a clinic-based registry of patients with OUD and (3) the clinician/staff interface of the EHR (e.g. progress notes, problem list). Data source one included records with six commonly applied ICD-10 codes for opioid use, dependence and abuse: F11.10 (opioid abuse, uncomplicated), F11.20 (opioid dependence, uncomplicated), F11.21 (opioid dependence, in remission), F11.23 (opioid dependence with withdrawal), F11.90 (opioid use, unspecified, uncomplicated) and F11.99 (opioid use, unspecified with unspecified opioid-induced disorder). Care coordinators used data sources two and three to categorize each patient identified in data source one: (1) confirmed OUD diagnosis, (2) may have OUD but no confirmed OUD diagnosis, (3) chronic pain with no evidence of OUD and (4) no evidence for OUD or chronic pain. FINDINGS: F11.10, F11.21 and F11.99 were applied most frequently to patients who had clinical diagnoses of OUD (64%, 89% and 79%, respectively). F11.20, F11.23 and F11.90 were applied to patients who had a diagnostic mix of OUD and chronic pain without OUD. The four clinics applied codes inconsistently. CONCLUSIONS: Lack of uniform application of ICD diagnosis codes make it challenging to use diagnosis code data from EHR to identify a research population of persons with opioid use disorder.
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Dolor Crónico , Trastornos Relacionados con Opioides , Humanos , Analgésicos Opioides/uso terapéutico , Clasificación Internacional de Enfermedades , Dolor Crónico/diagnóstico , Dolor Crónico/tratamiento farmacológico , Estudios Transversales , Trastornos Relacionados con Opioides/diagnóstico , Trastornos Relacionados con Opioides/epidemiología , Trastornos Relacionados con Opioides/tratamiento farmacológicoRESUMEN
Importance: No existing model allows clinicians to predict whether patients might return to opioid use in the early stages of treatment for opioid use disorder. Objective: To develop an individual-level prediction tool for risk of return to use in opioid use disorder. Design, Setting, and Participants: This decision analytical model used predictive modeling with individual-level data harmonized in June 1, 2019, to October 1, 2022, from 3 multicenter, pragmatic, randomized clinical trials of at least 12 weeks' duration within the National Institute on Drug Abuse Clinical Trials Network (CTN) performed between 2006 and 2016. The clinical trials covered a variety of treatment settings, including federally licensed treatment sites, physician practices, and inpatient treatment facilities. All 3 trials enrolled adult participants older than 18 years, with broad pragmatic inclusion and few exclusion criteria except for major medical and unstable psychiatric comorbidities. Intervention: All participants received 1 of 3 medications for opioid use disorder: methadone, buprenorphine, or extended-release naltrexone. Main Outcomes and Measures: Predictive models were developed for return to use, which was defined as 4 consecutive weeks of urine drug screen (UDS) results either missing or positive for nonprescribed opioids by week 12 of treatment. Results: The overall sample included 2199 trial participants (mean [SD] age, 35.3 [10.7] years; 728 women [33.1%] and 1471 men [66.9%]). The final model based on 4 predictors at treatment entry (heroin use days, morphine- and cocaine-positive UDS results, and heroin injection in the past 30 days) yielded an area under the receiver operating characteristic curve (AUROC) of 0.67 (95% CI, 0.62-0.71). Adding UDS in the first 3 treatment weeks improved model performance (AUROC, 0.82; 95% CI, 0.78-0.85). A simplified score (CTN-0094 OUD Return-to-Use Risk Score) provided good clinical risk stratification wherein patients with weekly opioid-negative UDS results in the 3 weeks after treatment initiation had a 13% risk of return to use compared with 85% for those with 3 weeks of opioid-positive or missing UDS results (AUROC, 0.80; 95% CI, 0.76-0.84). Conclusions and Relevance: The prediction model described in this study may be a universal risk measure for return to opioid use by treatment week 3. Interventions to prevent return to regular use should focus on this critical early treatment period.
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Buprenorfina , Trastornos Relacionados con Opioides , Adulto , Masculino , Humanos , Femenino , Analgésicos Opioides/uso terapéutico , Heroína/uso terapéutico , Trastornos Relacionados con Opioides/tratamiento farmacológico , Naltrexona/uso terapéutico , Buprenorfina/uso terapéutico , Antagonistas de Narcóticos/uso terapéuticoRESUMEN
INTRODUCTION: Opioid overdose deaths are increasing rapidly in the United States. Medications for opioid use disorder (MOUD) are effective and can be delivered in primary care, but uptake has been limited in rural communities. Referral to and coordination with an external telemedicine (TM) vendor by rural primary care clinics for MOUD (TM-MOUD) may increase MOUD access for rural patients, but we know little about perspectives on this model among key stakeholders. As part of a TM-MOUD feasibility study, we explored TM-MOUD acceptability and feasibility among personnel and patients from seven rural primary care clinics and a TM-MOUD vendor. METHODS: We conducted virtual interviews or focus groups with clinic administrators (n = 7 interviews), clinic primary care and behavioral health providers (8 groups, n = 30), other clinic staff (9 groups, n = 37), patients receiving MOUD (n = 16 interviews), TM-MOUD vendor staff (n = 4 interviews), and vendor-affiliated behavioral health and prescribing providers (n = 17 interviews). We asked about experiences with and acceptability of MOUD (primarily buprenorphine) and telemedicine (TM) and a TM-MOUD referral and coordination model. We conducted content analysis to identify themes and participants quantitatively rated acceptability of TM-MOUD elements on a 4-item scale. RESULTS: Perceived benefits of vendor-based TM-MOUD included reduced logistical barriers, more privacy and less stigma, and access to services not available locally (e.g., counseling, pain management). Barriers included lack of internet or poor connectivity in patients' homes, limited communication and trust between TM-MOUD and clinic providers, and questions about the value to the clinic of TM-MOUD referral to external vendor. Acceptability ratings for TM-MOUD were generally high; they were lowest among frontline staff. CONCLUSIONS: Rural primary care clinic personnel, TM-MOUD vendor personnel, and patients generally perceived referral from primary care to a TM-MOUD vendor to hold potential for increasing access to MOUD in rural communities. Increasing TM-MOUD uptake requires buy-in and understanding among staff of the TM-MOUD workflow, TM services offered, requirements for patients, advantages over clinic-based or TM services from clinic providers, and identification of appropriate patients. Poverty, along with patient hesitation to initiate treatment, creates substantial barriers to MOUD treatment generally; insufficient internet availability creates a substantial barrier to TM-MOUD.
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Sobredosis de Opiáceos , Trastornos Relacionados con Opioides , Humanos , Población Rural , Trastornos Relacionados con Opioides/tratamiento farmacológico , Personal Administrativo , Atención Primaria de SaludRESUMEN
In accordance with the chronic disease model of opioid dependence, cessation is often observed as a longitudinal process rather than a discrete endpoint. We aimed to characterize and identify predictors of periods of heroin abstinence in the natural history of recovery from opioid dependence. Data were collected on participants from California who were enrolled in the Civil Addict Program from 1962 onward by use of a natural history interview. Multivariate regression using proportional hazards frailty models was applied to identify independent predictors and correlates of repeated abstinence episode durations. Among 471 heroin-dependent males, 387 (82.2%) reported 932 abstinence episodes, 60.3% of which lasted at least 1 year. Multivariate analysis revealed several important findings. First, demographic factors such as age and ethnicity did not explain variation in durations of abstinence episodes. However, employment and lower drug use severity predicted longer episodes. Second, abstinence durations were longer following sustained treatment versus incarceration. Third, individuals with multiple abstinence episodes remained abstinent for longer durations in successive episodes. Finally, abstinence episodes initiated >10 and ≤20 years after first use lasted longer than others. Public policy facilitating engagement of opioid-dependent individuals in maintenance-oriented drug treatment and employment is recommended to achieve and sustain opioid abstinence.
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Dependencia de Heroína/epidemiología , Adolescente , Adulto , Factores de Edad , California/epidemiología , Estudios de Cohortes , Crimen/estadística & datos numéricos , Humanos , Masculino , Persona de Mediana Edad , Modelos de Riesgos Proporcionales , Índice de Severidad de la Enfermedad , Factores Socioeconómicos , Trastornos Relacionados con Sustancias/epidemiología , Factores de Tiempo , Adulto JovenRESUMEN
BACKGROUND: China has recently adopted methadone maintenance treatment (MMT) as a national strategy to address the problem of drug abuse and related public health issues such as HIV and HCV infections. However, low enrollment and retention rates suggest that barriers may exist in MMT utilization. This study examined both patients' perceptions and service providers' perceptions of challenges in MMT implementation in China. METHODS: Four focus groups were conducted in two Chinese cities, Shanghai and Kunming, to explore the perceived and experienced barriers in MMT participation in China. All focus group discussions with participants were audio taped and transcribed. Atlas.ti 5.1 was used to analyze data. RESULTS: Service providers and patient participants reported positive experiences (e.g. effects of MMT in curbing withdrawal symptoms) but also expressed concerns about side effects and continued heroin use during MMT. They also identified barriers in participating and remaining in MMT, including affordability (fee requirement), acceptability (methadone as a substitution, dose, long-term nature), accommodation and accessibility (inconvenient operation hours, lack of transferability to other MMT clinics during travel) and competition between public health and public security. CONCLUSIONS: The present findings have implications for reconsidering the current MMT policies and practices in order to improve access, utilization and, ultimately, the effectiveness of MMT in China.
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Dependencia de Heroína/tratamiento farmacológico , Metadona/uso terapéutico , Tratamiento de Sustitución de Opiáceos , Adulto , Actitud del Personal de Salud , Actitud Frente a la Salud , China , Femenino , Grupos Focales , Infecciones por VIH/prevención & control , Accesibilidad a los Servicios de Salud , Hepatitis C/prevención & control , Humanos , Masculino , Persona de Mediana Edad , Centros de Tratamiento de Abuso de Sustancias , Abuso de Sustancias por Vía Intravenosa/prevención & controlRESUMEN
OBJECTIVE: This study examined the gender differences in drug-related problems and predictors of recidivism among a sample of 1444 offenders with co-morbid drug abuse and mental disorders participating in California's Proposition 36 Program. METHODS: Background characteristics and problem severity in multiple key life areas were assessed at intake by using Addiction Severity Index, and drug treatment participation, mental health diagnoses and arrests were based on official records. RESULTS: Women demonstrated greater problem severity than men in family relationships, health, psychological health, and sexual and physical abuse history. Men on the other hand had greater criminal history, high rates of attention disorder, and psychotic disorder. More men than women were rearrested during the year after treatment admission. Logistic regression analyses showed that for the combined sample, male, young age, cocaine use (relative to methamphetamine), drug abuse severity, methadone treatment, arrest history and fewer prior treatment history were associated with higher recidivism at 12-month follow-up; lower education, cocaine use, and arrest history were related to women's recidivism, while young age, outpatient treatment, and arrest history were predictors of men's recidivism. CONCLUSION: Although the specific type of mental disorder did not seem to be predictive of recidivism, the high rates of mental health disorder and arrest of this population is problematic. Intervention strategies taking into consideration gender-specific problems and needs can improve outcomes for both.
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Trastornos Mentales/complicaciones , Trastornos Relacionados con Sustancias/complicaciones , Adolescente , Adulto , Crimen , Femenino , Humanos , Masculino , Persona de Mediana Edad , Recurrencia , Factores Sexuales , Centros de Tratamiento de Abuso de Sustancias , Resultado del Tratamiento , Adulto JovenRESUMEN
The present study sought to extend empirical inquiry related to the role of parenting on adolescent sexual risk-taking by using latent class analysis (LCA) to identify patterns of adolescent-reported mother responsiveness and autonomy-granting in early adolescence and examine associations with sexual risk-taking in mid- and late-adolescence. Utilizing a sample of 12- to 14-year-old adolescents (N = 4,743) from the 1997 National Longitudinal Survey of Youth (NLSY97), results identified a four-class model of maternal responsiveness and autonomy-granting: low responsiveness/high autonomy-granting, moderate responsiveness/moderate autonomy-granting, high responsiveness/low autonomy-granting, high responsiveness/moderate autonomy-granting. Membership in the low responsiveness/high autonomy-granting class predicted greater sexual risk-taking in mid- and late-adolescence compared to all other classes, and membership in the high responsiveness/ moderate autonomy-granting class predicted lower sexual risk-taking. Gender and ethnic differences in responsiveness and autonomy-granting class membership were also found, potentially informing gender and ethnic disparities of adolescent sexual risk-taking.