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The article provides insights on trends in overdose deaths by intent and drug involvement from improved public health monitoring. Topics discussed include a unique challenge of the overdose crisis, importance of understanding epidemiological trends in overdose stratified by intent in a timely manner, and implication of the increasing presence of synthetic opioids, stimulants, and benzodiazepines over the past few years.

Objective/Background: Beyond sleep duration, the regularity of sleep patterns (e.g., sleep consistency), including variability in sleep timing (e.g., bedtime, wake time) and duration, is a critical marker of sleep health. Sleep consistency is captured using a variety of methods within the literature (e.g., sleep intraindividual variability, social jetlag), but most of the research focuses on adolescents. Methods: Drawing on a developmental perspective, this narrative review highlights how normative changes at the individual (e.g., biological, cognitive, and social) and contextual (e.g., home, school, sociocultural) levels may contribute to inconsistent sleep patterns across development. Results and Conclusions: This review emphasizes how inconsistent sleep may increase across pivotal transitions throughout development (e.g., elimination of naps, puberty, summertime, entering college). Finally, recommendations for measuring sleep consistency and areas to address in future research are discussed. [ABSTRACT FROM AUTHOR]

Background: Some patients prescribed opioid analgesic (OA) medications for pain experience serious side effects, including dependence, sedation, and overdose. As most patients are at low risk for OA-related harms, risk reduction interventions requiring multiple counseling sessions are impractical on a large scale. Objective: This study evaluates whether an intervention based on reinforcement learning (RL), a field of artificial intelligence, learned through experience to personalize interactions with patients with pain discharged from the emergency department (ED) and decreased self-reported OA misuse behaviors while conserving counselors' time. Methods: We used data representing 2439 weekly interactions between a digital health intervention ("Prescription Opioid Wellness and Engagement Research in the ED" [PowerED]) and 228 patients with pain discharged from 2 EDs who reported recent opioid misuse. During each patient's 12 weeks of intervention, PowerED used RL to select from 3 treatment options: a brief motivational message delivered via an interactive voice response (IVR) call, a longer motivational IVR call, or a live call from a counselor. The algorithm selected session types for each patient each week, with the goal of minimizing OA risk, defined in terms of a dynamic score reflecting patient reports during IVR monitoring calls. When a live counseling call was predicted to have a similar impact on future risk as an IVR message, the algorithm favored IVR to conserve counselor time. We used logit models to estimate changes in the relative frequency of each session type as PowerED gained experience. Poisson regression was used to examine the changes in self-reported OA risk scores over calendar time, controlling for the ordinal session number (1st to 12th). Results: Participants on average were 40 (SD 12.7) years of age; 66.7% (152/228) were women and 51.3% (117/228) were unemployed. Most participants (175/228, 76.8%) reported chronic pain, and 46.2% (104/225) had moderate to severe depressive symptoms. As PowerED gained experience through interactions over a period of 142 weeks, it delivered fewer live counseling sessions than brief IVR sessions (P =.006) and extended IVR sessions (P <.001). Live counseling sessions were selected 33.5% of the time in the first 5 weeks of interactions (95% CI 27.4%-39.7%) but only for 16.4% of sessions (95% CI 12.7%-20%) after 125 weeks. Controlling for each patient's changes during the course of treatment, this adaptation of treatment-type allocation led to progressively greater improvements in self-reported OA risk scores (P <.001) over calendar time, as measured by the number of weeks since enrollment began. Improvement in risk behaviors over time was especially pronounced among patients with the highest risk at baseline (P =.02). Conclusions: The RL-supported program learned which treatment modalities worked best to improve self-reported OA risk behaviors while conserving counselors' time. RL-supported interventions represent a scalable solution for patients with pain receiving OA prescriptions. Trial Registration: Clinicaltrials.gov NCT02990377; https://classic.clinicaltrials.gov/ct2/show/NCT02990377 [ABSTRACT FROM AUTHOR]

Using data from the 1999 Large Health Survey of Veterans, Veterans Affairs' medical records, and the National Death Index (N = 260,254), the association between self-reported pain severity and suicide among veterans as examined, after accounting for demographic variables and psychiatric diagnoses. A Cox proportional hazards regression demonstrated that veterans with severe pain were more likely to die by suicide than patients experiencing none, mild, or moderate pain (HR: 1.33; 95% CI: 1.15, 1.54), after controlling for demographic and psychiatric characteristics. These results indicate that pain evaluations should be included in comprehensive suicide assessments and suicide prevention efforts.

HIV-seropositive, active injection-drug users (IDUs), compared with other HIV populations, continue to have low rates of highly active antiretroviral therapy (HAART) use, contributing to disparities in their HIV health outcomes. We sought to identify individual-level, interpersonal, and structural factors associated with HAART use among active IDUs to inform comprehensive, contextually tailored intervention to improve the HAART use of IDUs. Prospective data from three semiannual assessments were combined, and logistic general estimating equations were used to identify variables associated with taking HAART 6 months later. Participants were a community sample of HIV-seropositive, active IDUs enrolled in the INSPIRE study, a U.S. multisite (Baltimore, Miami, New York, San Francisco) prevention intervention. The analytic sample included 1,225 observations, and comprised 62% males, 75% active drug users, 75% non-Hispanic blacks, and 55% with a CD4 count DOI: 10.1089/apc.2009.0240

FOR MANY YEARS, INHALANTS HAVE BEEN a serious public health concern and among the most dangerous forms of substance use (Dinwiddie, 1994, 1998). Inhalants are associated with harmful outcomes that [...], Objective: Inhalants are a serious public health concern and a dangerous form of substance use. An important unresolved issue in the inhalant literature concerns the validity of inhalant-use diagnoses and the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, distinction between inhalant abuse and inhalant dependence. To address these limitations and provide the foundation for helping build stronger diagnostic and assessment tools related to inhalant problems, this study examined the dimensionality of the criteria set and the abuse--dependence distinction using item response theory (IRT) analysis. Method: This study used data from a survey of the population of Missouri Division of Youth Services' residents of the residential treatment system. The current study focused on adolescents and young adults who reported a lifetime history of inhalant use (N = 279). Results: The results from the IRT analysis showed no consistent hierarchical ordering of abuse and dependence criteria, providing strong evidence against the abuse-dependence distinction. The abuse criterion of legal problems associated with use represented the item with the highest level of inhalant severity. The dependence criterion that was related to giving up important social, occupational, or recreational activities provided the most accurate discrimination between individuals at different levels of severity. Conclusions: Inhalant-use disorders are best represented using a dimensional versus a categorical approach. IRT analysis provides guidance for selecting criteria that can be useful for brief assessments of inhalant-use problems. (J Stud. Alcohol Drugs, 71, 607-614, 2010)

Conspiracy beliefs regarding the origins of HIV are common among African Americans, and have been associated with engaging in HIV risk behaviors but also with earlier diagnosis among HIV patients. The objective of the present study was to test the association of HIV serostatus testing with conspiracy beliefs. A total of 1430 African Americans from low-income neighborhoods with high rates of drug use were surveyed in 1997-1999 in face-to-face interviews. Two 4-point items assessed if participants agreed that 'AIDS was started by an experiment that went wrong' and 'AIDS was created to kill blacks and poor folks.' A binary variable indicated if the respondent agreed with the statements, on average. 22.5% of the sample endorsed conspiracy beliefs, 4.0% of whom reported not having had an HIV test, compared to 7.7% of those who did not endorse conspiracy beliefs. In multivariable logistic regression modeling, never having had an HIV test was significantly associated with conspiracy beliefs (adjusted odds ratio [AOR] = 0.43, 95% confidence interval [CI] = 1.3-4.3), having a high school education (AOR = 0.55, CI = 0.35-0.84), having depression (AOR = 1.61, CI = 1.02-2.52), female gender (AOR = 0.54, CI = 0.34-0.86), younger age, and a history of injection drug use (AOR = 0.36, CI = 0.23-0.56), but not sex risk behaviors (multiple partners, irregular condom use). The finding that individuals who have conspiracy beliefs are more likely to have been tested for HIV may partially explain why HIV-positive individuals who endorse conspiracy beliefs are more likely to obtain an earlier diagnosis.