OBJECTIVES: To examine racial/ethnic disparity in smoking cessation medication use among adult smokers in the United States.  METHODS: A retrospective cross-sectional study was conducted using the Medical Expenditure Panel Survey (MEPS) data (2009). The study included adults aged ≥ 18 years who self-reported currently using tobacco.  The outcome variable was receiving smoking cessation medication use vs. not. Andersen's Behavioral Model of Health Services Utilization was used as the conceptual framework. The independent variables were categorized into predisposing, enabling, and need characteristics, including age, gender, race, marital status, education, insurance status, family income, region, urban residence, usual source of health care, general health status, comorbidity, obesity, activities of daily living.  Descriptive statistics and chi-square tests were used to examine group differences. Multivariate logistic regression analysis was performed to investigate racial/ethnic disparity in smoking cessation medication use. RESULTS: Total sample was 39,900,131and mostly comprised of Non-Hispanic Whites (73.38%), followed by Non-Hispanic Black (12.20%), Hispanics (9.53%), and others (4.88%). Race was a significant predictor of smoking cessation medication use. The findings indicated that Non-Hispanic Blacks were less likely to use smoking cessation medication compared to Non-Hispanic Whites (odds ratio [OR]: 0.39, 95% confidence interval [CI]: 0.19-0.80). Smokers who live in South were less likely to use smoking cessation medication compared with those who live in Northeast (OR: 0.43, 95% CI: 0.20-0.93). Obese people were more likely to use smoking cessation medication compared to non-obese smokers (OR: 2.68, 95% CI: 1.69-4.27). Additionally, urban residence was a significant predictor of smoking cessation medication use (OR: 2.26, 95% CI: 1.17-4.39). CONCLUSIONS: While smoking cessation remains highly recommended for all smokers, Black smokers are less likely to use smoking cessation medications compared to White. Further research is needed to understand the reasons for this disparity and find ways to eliminate it.