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Four brief screens for Gambling Disorder were administered and compared to DSM\u20105 criteria. Receiver operator curves were created and an Area Under the Curve (AUC) analysis (an overall summary of the utility of the scale to correctly identify Gambling Disorder) was assessed for each.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>On average participants were aged 46.4 years (<jats:italic>SD<\/jats:italic>\u2009=\u200910.2), African American\/Black (70.7%), with an income less than $20,000\/year (89.5%). Half the participants were female. Approximately 40% of participants (40.5%; <jats:italic>n<\/jats:italic>\u2009=\u2009121) met DSM\u20105 criteria for Gambling Disorder. Accuracy of the brief screens as measured by hit rate were .88 for the BBGS, .77 for the Lie\/Bet, .75 for NODS\u2010PERC, and .73 for the NODS\u2010CLiP. AUC analysis revealed that the NODS\u2010PERC (AUC: .93 (95% CI:\u2009.91\u2013.96)) and NODS\u2010CLiP (AUC: .90 (95% CI:\u2009.86\u2013.93)) had excellent accuracy.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion and Conclusions<\/jats:title><jats:p>The NODS\u2010PERC and NODS\u2010CLiP had excellent accuracy at all cut\u2010off points. However, the BBGS appeared to have the best accuracy at its specified cut\u2010off point.<\/jats:p><\/jats:sec><jats:sec><jats:title>Scientific Significance<\/jats:title><jats:p>Commonly used brief screens for Gambling Disorder appear to be associated with good diagnostic accuracy when used in substance use treatment settings. The choice of which brief screen to use may best be decided by the needs of the clinical setting. 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