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. Author manuscript; available in PMC: 2019 Jan 28.
Published in final edited form as: Prev Med. 2017 Jul 11;104:13–23. doi: 10.1016/j.ypmed.2017.07.008

Table 3.

Additional sources of information on time trends in cannabis-related outcomes.

Authors Outcome Data source Time
period
Sample size Age
range
Results

Zhu and Wu (2016) Cannabis-related emergency
department (ED) visits
United States Drug Abuse
Warning Network
2004–2011 2,823,321
ED visits
≥ 12
years
old
1ncrease in rate ofcannabis-only-related ED visits,
especially among adolescents.
1ncrease in rate ofcannabis-polydrug-related ED visits.
Gubatan et al. (2016) 1CD-9 cannabis use disorder (abuse or dependence, emergency department (ED) visits) Massachusetts General Hospital gastroenterology clinic patients 1986–2013 190,303 Mean
age = 47
Prevalence of cannabis use disorders increased over time, which was associated with increases in ED visits.
Brady and Li (2014) Traffic fatalities Fatality Analysis Reporting System (California, Hawaii, 1llinois, New Hampshire, Rhode Island, and West Virginia) 1999–2010 23,591 Not
reported
Prevalence of cannabinol in the blood of fatally injured drivers increased over the study period.
McKay and Groff (2016) Fatal airplane crashes Federal Aviation Administration’s Civil Aerospace Medical 1nstitute toxicology database
National Transportation Safety Board’s aviation accident database
1990–2012 6677 pilots Mean
age = 50
The prevalence of marijuana in the blood or tissues of fatally injured pilots increased over the study period.
Bonn-Miller et al. (2012) 1CD-9-CM cannabis use
disorders
Veterans Health Administration
national database
2002,
2008, and 2009
2002
(289,904)
Mean
age = 53–54
Prevalence of cannabis use disorders increased over
the study period. Results suggested that this occurred more in states with medical marijuana laws (wheremedical use ofmarijuana was legal).
2008
(403,117)
2009
(448,669)
Charilaou et al. (2017) 1CD-9-CM cannabis use
disorders
U.S. National 1npatient Sample
discharge diagnoses
2002–2011 7 million
discharges per year
≥18
years
old
Proportion of hospital discharge diagnoses involving
cannabis abuse or dependence increased over the study period.
Shi (2017) Rates of hospitalizations for 1CD-9-CM cannabis use disorders, and opioid use disorders or overdose State Inpatient Databases, state-level annual administrative records from 27 states 1997–2014 382
state-year
observations
Not
reported
Significant increases in CUD diagnosis over time. Medical marijuana legalization was associated with reductions in hospitalizations related to opioid use disorders and overdose. They had no effect on cannabis-related hospitalizations.