"In the 12 months after a nonfatal overdose, 2040 persons (11%) enrolled in MMT for a median of 5 months (interquartile range, 2 to 9 months), 3022 persons (17%) received buprenorphine for a median of 4 months (interquartile range, 2 to 8 months), and 1099 persons (6%) received naltrexone for a median of 1 month (interquartile range, 1 to 2 months). Among the entire cohort, all-cause mortality was 4.7 deaths (95% CI, 4.4 to 5.0 deaths) per 100 person-years and opioid-related mortality was 2.1 deaths (CI, 1.9 to 2.4 deaths) per 100 person-years.
"Vulnerability to Opioid Overdose
"Among the 42 249 opioid-related overdose deaths in 2016, 19,413 involved synthetic opioids, 17,087 involved prescription opioids, and 15,469 involved heroin. Synthetic opioid involvement in these deaths increased significantly from 3007 (14.3% of opioid-related deaths) in 2010 to 19,413 (45.9%) in 2016 (P for trend <.01). Significant increases in synthetic opioid involvement in overdose deaths involving prescription opioids, heroin, and all other illicit or psychotherapeutic drugs were found from 2010 through 2016 (Table).
"The use of MC [Medical Cannabis] as an alternative to POMs [Prescription Opioid Medications] for pain management warrants additional empirical attention as a potential harm reduction strategy. NASEM (2017) recommends more clinical trials to elucidate appropriate MC forms, routes of administration, and combination of products for treating pain, but access to MC products to fully evaluate these questions is challenging due to federal regulations.
"On average, 6 people died every day from alcohol poisoning in the US from 2010 to 2012. Alcohol poisoning is caused by drinking large quantities of alcohol in a short period of time. Very high levels of alcohol in the body can shutdown critical areas of the brain that control breathing, heart rate, and body temperature, resulting in death. Alcohol poisoning deaths affect people of all ages but are most common among middle-aged adults and men."
"The opioid epidemic is a public health crisis that is at least partially driven by harms associated with POM [Prescription Opioid Medication] use. States are passing laws allowing use of MC [Medical Cannabis] and patients are using MC, but currently there is little understanding of how this influences POM use or of MC-related harms. This literature review provides preliminary evidence that states with MC laws have experienced reported decreases in POM use, abuse, overdose, and costs.
"By 2014, 30 states had a naloxone access and/or Good Samaritan law. States with naloxone access laws or Good Samaritan laws had a 14% (p = 0.033) and 15% (p = 0.050) lower incidence of opioid-overdose mortality, respectively. Both law types exhibit differential association with opioid-overdose mortality by race and age. No significant relationships were observed between any of the examined laws and non-medical opioid use.
" Naloxone access laws that ease restrictions on naloxone possession and distribution are associated with a 20% reduction overdose deaths among African-Americans.
" Good Samaritan laws, providing immunity from prosecution for those calling emergency services, are associated with broad reductions in overdose deaths, reducing overdose deaths by 13% overall.
" None of these harm reduction measures result in increase in opioid or heroin use.
" In 2016, there were more than 63,600 drug overdose deaths in the United States.
" The age-adjusted rate of drug overdose deaths in 2016 (19.8 per 100,000) was 21% higher than the rate in 2015 (16.3).
" Among persons aged 15 and over, adults aged 25–34, 35–44, and 45–54 had the highest rates of drug overdose deaths in 2016 at around 35 per 100,000.
" West Virginia (52.0 per 100,000), Ohio (39.1), New Hampshire (39.0), the District of Columbia (38.8), and Pennsylvania (37.9) had the highest observed age-adjusted drug overdose death rates in 2016.
The White House Council of Economic Advisers [CEA] released its analysis of the economic costs of illegal opioid use, related overdoses, and overdose mortality in November 2017. It reported a dramatically higher estimate than previous analyses, largely due to a change in methodology. Previous analyses had used a person's estimated lifetime earnings to place a dollar value on that person's life.