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INTRODUCTION: The opioid epidemic continues to escalate in the United States, exacerbated significantly by the COVID‐19 pandemic. Necessary steps in acute care medicine to expand efforts to combat this epidemic involve increased emergency department engagement of patients with opioid use disorder (OUD) and an incorporation of evolving sex‐ and gender‐based factors that affect this disease presentation and management course. METHODS & AIMS: An ever‐increasing amount of peer‐reviewed, evidence‐based literature has shed light on the important biologic and sociocultural variables, specifically sex and gender, which impact OUD trajectory and outcomes. As a collaborative effort of the Sex and Gender in Emergency Medicine (SGEM) Interest Group, a community within the Society for Academic Emergency Medicine (SAEM), we sought to consider, review, and summarize clinically pertinent information as a comprehensive introduction to this topic for the emergency medicine (EM) clinician and educator. RESULTS: A selected overview of current evidence‐based data and publications, to include current epidemiologic trends, opioid‐based physiology and pathophysiology, as well as opioid use disorder management and outcomes, through a sex‐ and gender‐based lens, was reviewed and included in this summary. Also discussed are implications and recommendations for EM educators seeking insight and resources for continuing, graduate, and/or undergraduate education on this topic. CONCLUSION: Incorporation of emerging sex‐ and gender‐specific scientific knowledge into clinical context represents a critical link to effective management of the OUD patient in the ED. Similarly, integration of this information into EM education represents an essential step for both sex‐ and gender‐based medicine and opioid‐specific training.

Objective: To develop a simplified clinical prediction tool for identifying children with clinically important traumatic brain injuries (ciTBIs) after minor blunt head trauma by applying machine learning to the previously reported Pediatric Emergency Care Applied Research Network dataset. Study design: The deidentified dataset consisted of 43 399 patients