Tables showing the 2008-2010 and 2016-2018 substate area estimates and the percent Bayesian confidence intervals along with an indication of statistical significance of the difference.
These tables are special analyses that include opioid use (or heroin use and prescription pain reliever misuse) or opioid use disorders as a variable. The NSDUH survey years used, as well as by-demographic group analyses, vary.
Results from the 2009 National Survey on Drug Use and Health: Mental Health Detailed Tables is a collection of tables presenting national estimates from the National Survey on Drug Use and Health (NSDUH). These tables present information on past year mental health measures and past year mental health service utilization...
This report provides methodological information on how to obtain estimates of behavioral health outcomes for populations living on and off tribal lands and provides some initial estimates using NSDUH 2005 to 2014 data.
Tables showing the 2008-2010 and 2014-2016 substate area estimates and 95 percent Bayesian confidence intervals along with an indication of statistical significance of the difference.
Tables showing the 2012-2014 and 2014-2016 substate area estimates and 95 percent Bayesian confidence intervals along with an indication of statistical significance of the difference.
This short report uses data from the Drug Abuse Warning Network (DAWN) to examine the emergency department (ED) visits for children aged 1 -5 that involved opioid pain relievers. Hydrocodone (Vicodin, Lortab), oxycodone (OxyContin, Percocet), and codeine are examples of opioid pain relievers; buprenorphine (Suboxone), is an opioid that is...
This report uses 2009 to 2014 NSDUH data, and 1999 and 2009 to 2014 data from the National Vital Statistics System to examine the percentages of suicidal thoughts and behaviors versus suicidal death rates among the middle-aged.
This report uses data from the 2009 to 2014 National Surveys on Drug Use and Health (NSDUHs) to determine the number of children aged 17 or younger living with a parent who had an substance use disorder, an alcohol use disorder or illicit drug use disorder.
for example, 12th grade aged dropouts were more likely to be current cigarette users (55.9 vs. 20.2 percent), be alcohol users (41.1 vs. 33.7 percent), engage in binge alcohol use (31.8 vs. 22.1 percent), engage in any illicit drug use (31.4 vs. 18.1 percent), engage in marijuana use (27.5 vs...
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