For more than three decades, rational-choice theory has reigned as the dominant approach both for interpreting crime and as underpinning for crime-control programs. Although it has been applied to an array of street crimes, white-collar crime and those who commit it have thus far received less attention. Choosing White-Collar Crime is a systematic application of rational-choice theory to problems of explaining and controlling white-collar crime. It distinguishes ordinary and upperworld white-collar crime and presents reasons theoretically for believing that both have increased substantially in recent decades. Reasons for the increase include the growing supply of white-collar lure and non-credible oversight. Choosing White-Collar Crime also examines criminal decision making by white-collar criminals and their criminal careers. The book concludes with reasons for believing that problems of white-collar crime will continue unchecked in the increasingly global economy and calls for strengthened citizen movements to rein in the increases.

The rapid increase of fatal opioid overdoses over the past two decades is a major U.S. public health problem, especially in non‐metropolitan communities. The crisis has transitioned from pharmaceuticals to illicit synthetic opioids and street mixtures, especially in urban areas. Using latent profile analysis, we classify n = 3,079 counties into distinct classes using CDC fatal overdose rates for specific opioids in 2002–2004, 2008–2012, and 2014–2016. We identify three distinct epidemics (prescription opioids, heroin, and prescription‐synthetic opioid mixtures) and one syndemic involving all opioids. We find that prescription‐related epidemic counties, whether rural or urban, have been “left behind” the rest of the nation. These communities are less populated and more remote, older and mostly white, have a history of drug abuse, and are former farm and factory communities that have been in decline since the 1990s. Overdoses in these places exemplify the “deaths of despair” narrative. By contrast, heroin and opioid syndemic counties tend to be more urban, connected to interstates, ethnically diverse, and in general more economically secure. The urban opioid crisis follows the path of previous drug epidemics, affecting a disadvantaged subpopulation that has been left behind rather than the entire community. County data on opioid epidemic class membership are provided.

Victimization is a significant part of the incarceration experience. In this study, we assessed the effects of victimization while incarcerated and pre-existing conditions on prisoners' distress. Data are drawn from surveys administered to 208 men recently released from prison. Using path analysis, we examined the direct effects of victimization and the direct and indirect effects, via victimization, of preprison characteristics and other control variables on distress (symptoms of post-traumatic stress [PTS] and depression). Findings reveal that victimization in prison significantly predicts the occurrence of PTS symptoms and depressive symptoms. Previous trauma, self-control, and race also have direct effects, and previous trauma and race have indirect effects on PTS and depressive symptoms.

Objectives. To examine associations of county-level demographic, socioeconomic, and labor market characteristics on overall drug mortality rates and specific classes of opioid mortality. Methods. We used National Vital Statistics System mortality data (2002–2004 and 2014–2016) and county-level US Census data. We examined associations between several census variables and drug deaths for 2014 to 2016. We then identified specific classes of counties characterized by different levels and rates of growth in mortality from specific opioid types between 2002 to 2004 and 2014 to 2016. We ran multivariate and multivariable regression models to predict probabilities of membership in each “opioid mortality class” on the basis of county-level census measures. Results. Drug mortality rates overall are higher in counties characterized by more economic disadvantage, more blue-collar and service employment, and higher opioid-prescribing rates. High rates of prescription opioid overdoses and overdoses involving both prescription and synthetic opioids cluster in more economically disadvantaged counties with larger concentrations of service industry workers. High heroin and “syndemic” opioid mortality counties (high rates across all major opioid types) are more urban, have larger concentrations of professional workers, and are less economically disadvantaged. Syndemic opioid counties also have greater concentrations of blue-collar workers. Conclusions. Census data are essential tools for understanding the importance of place-level characteristics on opioid mortality. Public Health Implications. National opioid policy strategies cannot be assumed universally applicable. In addition to national policies to combat the opioid and larger drug crises, emphasis should be on developing locally and regionally tailored interventions, with attention to place-based structural economic and social characteristics.