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The Behavioral Health Barometer: United States, Volume 5: Indicators as measured through the 2017 National Survey on Drug Use and Health and the National Survey of Substance Abuse Treatment Services, is one of a series of national, regional, and state reports that provide a snapshot of substance use and mental...

The National Directory of Mental Health Treatment Facilities - 2019 is a listing of federal, state, and local government facilities and private facilities that provide mental health treatment services. It includes treatment facilities that responded to the 2018 National Mental Health Services Survey (N-MHSS). The information about each facility that...

California Mental Health Advocates for Children and Youth (CMHACY), Mental Health and Substance Use Challenges to Our Youth: A Call to Action, May 17, 2019, Elinore F. McCance-Katz, MD, PhD, Assistant Secretary for Mental Health and Substance Use, Substance Abuse and Mental Health Services Administration, Department of Health and Human...

This report presents national- and state-level data from the Treatment Episode Data Set (TEDS) for admissions and discharges occurring in 2017, and trend data from 2007 to 2017. It summarizes demographic information and the characteristics and outcomes of treatment for alcohol and/or drug use among clients aged 12 years and...

The National Directory of Drug and Alcohol Abuse Treatment Facilities - 2019 is a listing of federal, state, and local government facilities and private facilities that provide substance abuse treatment services. It includes treatment facilities that (1) are licensed, certified, or otherwise approved for inclusion in the Directory by their...

This report focuses on the editing and statistical imputation procedures that were applied to respondent data for the 2017 NSDUH. Logical editing uses data from elsewhere within the same respondent's record to reduce the occurrence of missing or ambiguous data or to resolve inconsistencies between related variables. Imputation is defined...

The focus of this report is to describe the statistical inference procedures used to produce design-based estimates as presented in the 2017 detailed tables and the 2017 FFR, which are based on restricted-use data.

This report addresses the following topics relating to data collection for the 2017 NSDUH: Sampling and Counting and Listing Operations, Data Collection Staffing, Preparation of Survey Materials, Field Staff Training, Data Collection, Data Collection Results, and Quality Control.

This report contains a brief review of the sampling weight calibration methodology used for the 2017 National Survey on Drug Use and Health (NSDUH). This report also lists detailed documentation on the implementation steps and evaluation results from the weight calibration application. The constrained exponential modeling (CEM) method used in...

This report details the 2018 sample design for the NSDUH and covers the design overview, target population, and stages of sample selection. The design overview describes how the sample design remains consistent with NSDUH’s designs since 1991 and has extended coverage of the sample since then to include additional resident...

NSDUH allows for estimating characteristics at the person level, pair level, and household or QDU level. This report describes the weight calibration methods used for the pair- and QDU-level respondents. As described in the person-level report, NSDUH is an annual survey of about 67,500 people selected from the civilian, noninstitutionalized...

This is a table of contents for the state-specific 2016-2017 estimates. Just click on the link for each state to be taken to that state.

These are the 2016-2017 state estimates - in thousands format. There are Excel, CSV, and PDF formats.

This document briefly describes one of these other data systems that publish state estimates and presents selected comparisons with NSDUH results: Behavioral Risk Factor Surveillance System (BRFSS) and Youth Risk Behavior Survey (YRBS).

These documents are either short term or long term comparisons between state-level estimates.