Artificial intelligence chatbots regularly answer public queries about sensitive health topics such as addiction, providing mostly accurate but highly generalized information. A recent evaluation found that while chatbot responses align broadly with national guidelines, they often lack the situational details necessary for individualized health decisions. These descriptive findings were recently published in the journal Drug and Alcohol Dependence. Substance use disorder is a chronic medical condition defined by the compulsive use of drugs or alcohol despite adverse physical, social, or emotional consequences. The official medical diagnostic framework views the condition on a spectrum of severity rather than applying a binary label of addiction. This diagnosis reflects changes in brain function that lead to cravings, physical tolerance, and withdrawal symptoms. In the United States alone, nearly fifty million people over the age of twelve met the diagnostic criteria for this condition in recent health surveys. Despite the availability of medical treatments, care for addiction remains heavily underutilized. Medical providers face institutional limitations, time constraints, and a lack of specific training regarding the condition. At the same …