Prevalence and Childhood Precursors of Opioid Use in the Early Decades of Life.

Importance: Opioid use disorder and opioid deaths have increased dramatically in young adults in the US, but the age-related course or precursors to opioid use among young people are not fully understood. Objective: To document age-related changes in opioid use and study the childhood antecedents of opioid use by age 30 years in 6 domains of childhood risk: sociodemographic characteristics; school or peer problems; parental mental illness, drug problems, or legal involvement; substance use; psychiatric illness; and physical health. Design, Setting, and Participants: This community-representative prospective longitudinal cohort study assessed 1252 non-Hispanic White individuals and American Indian individuals in rural counties in the central Appalachia region of North Carolina from January 1993 to December 2015. Data were analyzed from January 2019 to January 2020. Exposures: Between ages 9 and 16 years, participants and their parents were interviewed up to 7 times using the Child and Adolescent Psychiatric Assessment and reported risk factors in 6 risk domains. Main Outcomes and Measures: Participants were assessed again at ages 19, 21, 25, and 30 years for nonheroin opioid use (any and weekly) and heroin use using the structured Young Adult Psychiatric Assessment. Results: Of 1252 participants, 342 (27%) were American Indian. By age 30 years, 322 participants had used a nonheroin opioid (24.2%; 95% CI, 21.8-26.5), 155 had used a nonheroin opioid weekly (8.8%; 95% CI, 7.2-10.3), and 95 had used heroin (6.6%; 95% CI, 5.2-7.9). Childhood risk markers for later opioid use included male sex, tobacco use, depression, conduct disorder, cannabis use, having peers exhibiting social deviance, parents with legal involvement, and elevated systemic inflammation. In final models, childhood tobacco use, depression, and cannabis use were most robustly associated with opioid use in young adulthood (ages 19 to 30 years). Chronic depression and dysthymia were strongly associated with any nonheroin opioid use (OR. 5.43; 95% CI, 2.35-12.55 and OR, 7.13; 95% CI, 1.99-25.60, respectively) and with weekly nonheroin opioid use (OR, 8.89; 95% CI, 3.61-21.93 and OR, 11.51; 95% CI, 3.05-42.72, respectively). Among young adults with opioid use, those with heroin use had the highest rates of childhood psychiatric disorders and comorbidities. Conclusions and Relevance: Childhood tobacco use and chronic depression may be associated with impaired reward system functioning, which may increase young adults' vulnerability to opioid-associated euphoria. Preventing and treating early substance use and childhood mental illness may help prevent later opioid use.

Does Despair Really Kill? A Roadmap for an Evidence-Based Answer.

Two seemingly associated demographic trends have generated considerable interest: income stagnation and rising premature mortality from suicides, drug poisoning, and alcoholic liver disease among US non-Hispanic Whites with low education. Economists interpret these population-level trends to indicate that despair induced by financial stressors is a shared pathway to these causes of death. Although we now have the catchy term "deaths of despair," we have yet to study its central empirical claim: that conceptually defined and empirically assessed "despair" is indeed a common pathway to several causes of death. At the level of the person, despair consists of cognitive, emotional, behavioral, and biological domains. Despair can also permeate social relationships, networks, institutions, and communities. Extant longitudinal data sets feature repeated measures of despair-before, during, and after the Great Recession-offering resources to test the role that despair induced by economic decline plays in premature morbidity and mortality. Such tests must also focus on protective factors that could shield individuals. Deaths of despair is more than a phrase; it constitutes a hypothesis that deserves conceptual mapping and empirical study with longitudinal, multilevel data.