Cannabis is the most widely used recreational drug in the United Kingdom and adolescents with psychiatric conditions have much higher rates of use. These individuals with psychiatric disorders, particularly ADHD and depression, also have higher degrees of mood instability, which is a form of emotional dysregulation. These adolescents already face elevated risk for academic problems and later substance dependence, so it’s important to understand why they are vulnerable to cannabis use. The findings in this study support early intervention models, and emphasize how addressing emotional dysregulation can reduce downstream substance use. This can also help in monitoring high-risk individuals, screening earlier and more proactively, and providing faster access to care. Additionally, this research can indicate how NLP and AI can be used to extract clinically relevant information from EHR notes, which represents a shift toward precision medicine and scalable monitoring of risk factors. This study highlights how multiple psychiatric symptoms, such as hyperactivity and mood instability, can converge to put individuals at risk for cannabis use. This can help clinicians illustrate the importance of transdiagnostic traits that can help inform treatment needs.