This manuscript proposes a systems-level interpretability framework describing Δ9-tetrahydrocannabinol (THC) as a potential contextual interference agent in complex clinical care. Rather than focusing on classical pharmacokinetic drug–drug interactions, the paper examines how distributed CB1-mediated modulation of regulatory systems may influence therapeutic expression in multimorbidity settings. Drawing from allostatic load theory, network medicine, resilience science, and clinical pharmacology, the framework identifies six recurring modes of contextual interference: baseline drift, response gain change, feedback distortion, immune context shift, signal masking, and recovery debt. The analysis emphasises trajectory-level observables including variance, recovery slope, and dose–response sensitivity rather than directional harm. The manuscript does not assert uniform clinical risk. Instead, it proposes falsifiable hypotheses and outlines a prospective research agenda for evaluating state-mediated modulation in metabolic, cardiovascular, endocrine, and immune-dependent treatment contexts.
Anwar Mohamed (Tue,) studied this question.