Abstract: A self-contained extended reality (XR) device is disclosed for real-time detection and mitigation of substance use disorder symptoms. The headset includes integrated biometric sensors for capturing physiological signals such as pupil dilation, heart rate, and head movement. A locally stored machine-learned model analyzes these signals to classify cognitive or affective states indicative of withdrawal, craving, or relapse risk. Upon detecting a threshold state, the headset automatically renders an immersive therapeutic environment selected to mitigate the user's condition. Interventions may include spatialized audio, visual modulation, and avatar-guided interactions. The device further supports adaptive personalization, secure local data storage, and optional transmission of session summaries to authorized care providers. The system operates without external computing devices and is optimized for privacy-preserving, user-specific behavioral health support.

Abstract: A system and method of managing addiction recovery may include importing all-source medical records for patients, as well as generating and storing models based on the medical records. The system may receive real-time client event data, not limited to biometric, clinical, locational, and behavioral data. The system and associated processes may generate and update client model based on real-time client event data. The client model may be compared to the stored model to assess treatment progress and risk. Where appropriate, a caregiver may be immediately alerted to facilitate telemedical and other immediate intervention. The system may present the provider with a visual representation of assessment (e.g., based in part on established indexes and treatment metrics), along with predictive analysis and prescription verification. Provider notes may be seamlessly uploaded and coordinated with billing to continuously update the medical records.