Street-drug lethality index: A novel methodology for predicting unintentional drug overdose fatalities in population research.

BACKGROUND: Emerging evidence suggests the composition of local illicit drug markets varies over time and the availability and relative lethality of illicit drugs may contribute to temporal trends in overdose mortality. Law enforcement drug seizures represent a unique opportunity to sample the makeup of local drug markets. Prior research has associated shifts in the types of drugs seized and trends in unintentional drug overdose mortality. The present report builds on this work by demonstrating a novel methodology, the Street-Drug Lethality Index, which may serve as a low-lag predictor of unintentional overdose deaths. METHODS: Data included administrative records of law enforcement drug seizures and unintentional drug overdose deaths in Ohio from 2009 -to- 2018. Death records and lab results from drug seizures occurring during the calendar year 2017 were transformed via the described procedure to create lethality indices for individual drugs. These indices were then summed annually to create the independent variable for a linear regression model predicting unintentional overdose deaths for all years during the study period. RESULTS: The regression model explained 93 % of the year-to-year variance in unintentional overdose fatalities (slope = 0.009480; CI = 0.007369 to 0.011590; t10 = 10.355942; P = 0.000007; Y = 11.808982 + 0.009480X, r2 = 0.931). CONCLUSION: These findings contribute to a growing body of evidence that changes in the composition of the drug supply may predict trends in unintentional overdose mortality. The proposed methodology might inform future overdose prevention and response efforts as well as research.

Prescription drug abuse as a public health problem in Ohio: a case report.

Prescription drug overdose is the leading cause of injury death in Ohio, as well as in 16 other states. Responding to the prescription drug epidemic is particularly challenging given the fragmentation of the health care system and that the consequences of addiction span across systems that have not historically collaborated. This case study reports on how Ohio is responding to the prescription drug epidemic by developing cross-system collaboration from local public health nurses to the Governor's office. In summary, legal and regulatory policies can be implemented relatively quickly whereas changing the substance abuse treatment infrastructure requires significant financial investments.

Correlates of motivation to change in adolescents completing residential substance use treatment.

This research identified psychosocial correlates of motivation to change in adolescents being discharged from residential treatment for substance use disorders. Using a naturalistic longitudinal design, adolescents in a residential treatment program in southeast Ohio were assessed at intake and discharge using self-administered questionnaires. Surveys assessed motivation to change one's drug and alcohol use, ways of coping to avoid future alcohol/substance use, and social support. The 68 participants (mean age = 16.0, range = 12-18) were predominantly Caucasian (87%) and male (69%). Over the course of treatment, adolescents reported significant increases in active-cognitive coping, avoidant-behavioral coping, and attachment and marginally significant increases in motivation to change and reliable alliance. Adolescents who reported higher discharge levels of motivation to change also reported greater levels of social integration at discharge. Strengthening adolescents' social integration may also increase their motivation to avoid using drugs and alcohol as they prepare to exit treatment and return to their home communities.