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2015-2016 NSDUH State Prevalence Estimates – PDF Tables (for printing)

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 summarizes the differences between respondents and nonrespondents at the two stages of nonresponse in the clinical follow-up component of NSDUH. Differences between respondents and nonrespondents were examined in addition to nonresponse biases in a variety of demographic and substantive measures related to the key outcome measures at the...

These instructions explain how to update the 2016 Substance Abuse and Mental Health Services Administration (SAMHSA) Serious Mental Illness (SMI) and Serious Emotional Disturbances (SED) estimates. This includes obtaining the latest population data by state from the U.S. Census Bureau as well as the calculations and methodology necessary to create...

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.

Received Mental Health Services in the Past Year, by Age Group and State.

Received Mental Health Services in the Past Year, by Age Group and State - Excel and CSV file

Received Mental Health Services in the Past Year, by Age Group and State

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.

The goal of this report is to further document the 2015 NSDUH sample experiences, including a comparison of actual sample yields to state and quarter targets, a comparison of achieved and expected design effects (DEFFs) and relative standard errors (RSEs), and documentation of any issues encountered during sample implementation.

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...