|
Bonn-Miller et al (2012) |
Veterans Health Administration national database |
2002, 2008, 2009 |
1 141 690 Patients |
Mean, 53 |
ICD-9-CM cannabis use disorders |
|
Johnson et al (2012) |
California roadside surveys |
2007 and 2010 |
1707 |
Median, 29 |
Cannabis detected in oral samples or breath tests of weekend nighttime drivers |
|
Brady and Li (2014) |
Fatality Analysis Reporting System (FARS) |
1999–2010 |
23 591 Driver decedents |
Not reported |
Cannabinol in blood of drivers fatally injured in vehicle crashes |
|
Jehle et al (2015) |
National Burn Repository |
2002–2011 |
73 725 Patients |
⩾12 Years |
Prevalence of cannabis detected in urine drug screens of patients with burn injuries |
|
Zhu and Wu (2016) |
US Drug Abuse Warning Network (DAWN) |
2004–2011 |
2 823 321 Visits |
⩾12 Years |
Cannabis-only emergency room visits |
|
Gubatan et al (2016) |
Massachusetts General Hospital gastroenterology clinic patients |
1986–2013 |
190 303 Patients |
Mean, 47 |
ICD-9-CM cannabis use disorders |
|
McKay and Groff (2016) |
US Civil Aerospace toxicology database; National Transportation Safety Board aviation accidents |
1990–2012 |
6677 Pilot decedents |
Mean, 50 |
Cannabinol in blood or tissue of fatally injured pilots |
|
Charilaou et al (2017) |
U.S. National Inpatient Sample, discharge diagnoses |
2002–2011 |
7 Million discharges per year |
⩾18 Years |
Proportion of hospital discharge diagnoses involving ICD-9-CM cannabis use disorders |
|
Shi (2017) |
State Inpatient administrative records, 27 states |
1997–2014 |
382 State-year observations |
Not reported |
ICD-9-CM cannabis use disorders |