Government assistance and Medicaid: The relationship with drug treatment and medication for opioid use disorder among women in the United States

Introduction: Social safety net programs (e.g., Medicaid and government assistance) may facilitate drug use disorder (DUD) treatment receipt. We explored the association of social safety net programs with drug treatment and medication for opioid use disorder (MOUD)receipt among women with DUD and opioid use disorder (OUD), respectively.
Methods: We used data from women ages 18-64 who met criteria for past-year DSM-5 DUD (n=2,784) and OUD (n=458) in the 2022 public-use National Survey for Drug Use and Health. We estimated the odds of past-year DUD treatment among women with DUD and past-year MOUD treatment among women with OUD by government assistance and/or Medicaid receipt in primary analyses, followed by secondary categorizations of exposure (any government assistance; number of programs received), using separate logistic regressions, controlling for sociodemographics.
Results: In primary analyses, women with DUD receiving both Medicaid and government assistan..., , # Government assistance and Medicaid: the relationship with drug treatment and medication for opioid use disorder among women in the United States

Dataset DOI: [10.5061/dryad.np5hqc05n](10.5061/dryad.np5hqc05n)

## Description of the data and file structure

Uploaded files are a supplement to **Government assistance and Medicaid: the relationship with drug treatment and medication for opioid use disorder among women in the United States**

'Rmd' files refer to R Markdown documents which knit to HTML output.

'R' files can be used in the R Linux interface or in R Studio or a similar code editor. 

'Rds' files are data files that we use for our intermediate or 'working' dataset.

'Rdata' file is data provided by SAMHSA for the full dataset.  

### *Individual File Descriptions*

* NSDUH21_22_working.rds - This is the working dataset for the paper. We pared down the variables in the public use NSDUH dataset from over 2000 variables down to 44. There are 56069 observations. If users want t...,