There are four types of sex differences: qualitative, quantitative, population, and mechanistic. We use the framework of addiction, in which animal models have excellent face and construct validity, to illustrate the importance of considering sex differences. The purpose of this review is to discuss ways to think about and study sex differences in preclinical animal models.
