The Prevalence of Paraphernalia Found at the Scene of Drug-Related Deaths

The fentanyl phase of the opioid epidemic in Cuyahoga County, Ohio, United States

Since late 2014, fentanyl has become the major driver of opioid mortality in the United States. However, a descriptive analysis of fentanyl victims is limited. We studied the 2016 fentanyl and heroin overdose deaths and compared them to previously studied heroin-associated fatalities from 2012 over a wide range of demographic and investigative variables, including overdose scene findings, toxicology results, and prescription drug history. We observed a significant increase in fentanyl-related deaths (n = 421, 2016) versus heroin deaths (n = 160, 2012) but the baseline demographics between both cohorts remained similar. Victims were predominantly of ages 35-64 years (60%-64%), White (83%-85%), and male (73%-76%). 2016 fentanyl decedents were more likely to have naloxone administered upon overdose, and the majority still had a positive prescription history for a controlled substance. Toxicology data showed a decrease in mean morphine and 6-monoacetylmorphine concentrations when cointoxication with fentanyl occurred. Our study emphasizes the medical examiner's role as a public health data source and bridge between different stakeholders combating the opioid epidemic.

An investigation of demographic and drug-use patterns in fentanyl and carfentanil deaths in Ontario

The opioid epidemic in Ontario has seen opioid-related deaths double in recent years, from 676 deaths in 2014 to 1,474 in 2018, with an overwhelming prevalence of fentanyl and fentanyl-analogues, such as carfentanil. The presence of drug paraphernalia and a history of drug-use is often a strong indicator of a drug-related death, indicating a need for toxicological analysis. Demographic and drug-related patterns associated with opioid deaths in Ontario from June 2017 to December 2018 (n = 2403) were investigated using data collected from the Coroner's Opioid Investigative Aid (OIA). This work aims to provide insight on how the opioid epidemic affects certain demographics to aid investigators conduct targeted analyses and help public health officials identify vulnerable communities. Chi-square and logistic regressions were conducted to evaluate if age and sex were predictors for the presence of drug paraphernalia, and if drug paraphernalia, sex, age, or history of drug use were associated with causes of deaths (COD). Chi-square analysis revealed that sex (p < 0.001), the presence of drug-use history (p < 0.001), and the presence of drug paraphernalia at the scene of death (p < 0.001) were significantly associated with CODs. Sex was also significantly associated with the presence of drug paraphernalia (p < 0.001). Logistic regression analysis indicated that age (p < 0.001) influenced the probability of opioid-related deaths. Probability models relating age to various opioid-related CODs were also generated. These results demonstrated that fentanyl-related deaths are more associated with males, younger individuals, individuals with a history or drug-use, and the presence of drug paraphernalia.