(Click article titles to download .PDF)

Heyman, G. M., Ryu, E., & Brownell, H. (2024). Evidence that intergenerational income mobility is the strongest predictor of drug overdose deaths in U.S. Midwest Counties. International Journal of Drug Policy.

Heyman, G. M.  (2023). Disapproving of destructive drug use should not be confused with stigmatizing drug addicts, Addiction Research & Theory.

Heyman, G. M. (2023). Overconsumption as a function of how individuals make choices. Journal of the Experimental Analysis of Behavior, 119(1), 91-103.

Heyman, G. M. (2022). Political partisanship and cognitive proficiency predict U. S. state differences in Covid. Manuscript.

Heyman, G. M. (2022). Social-economic factors predict state differences in opioid overdose rates. Atlas of Science. May 2, 2022.

Heyman, G. M. (2022). One cheer for the brain-disease interpretation of addiction (text pre-publication version). In Evaluating the Brain Disease Model of Addiction. Heather, N. et al (Eds). Routledge, pp. 260-275

Heyman, G. M. (2021). Personality and its partisan political correlates predict U.S. state differences in Covid-19 policies and mask wearing percentages. Frontiers in Psychology, 12:729774.

Heyman, G. M. (2021). Aspiration fuels willpower: Evidence from the addiction literature. Behavioral & Brain Sciences, 44, e39.

Heyman, G. M., & Moncaleano, S. (2021). Behavioral psychology’s matching law describes the allocation of covert attention: A choice rule for the mind. Journal of Experimental Psychology: General, 150(2), 195–205.

Heyman, G. M. (2020). How individuals make choices explains addiction’s distinctive, non-eliminable features. Behavioural and Brain Research