CB1 / THC Chronic Signalling, and the Loss of Adaptive Capacity Allostatic Drift, Temporal Misinterpretation, and Failure Modes in Endocannabinoid Modulation

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Authors: Anwar Mohamed
Cited by: 0

Abstract

This paper examines the long-term biological consequences of chronic Δ9-tetrahydrocannabinol (THC) exposure through a systems-level, temporal framework. Rather than treating THC as an acutely acting substance, the work analyses it as a persistent CB1-dominant signalling agent that reshapes regulatory behaviour over time. The paper introduces adaptive capacity as a core biological property and distinguishes short-term symptom relief from long-term system resilience. Drawing on concepts of allostasis, temporal cost, attractor drift, and reduced reversibility, it shows how repeated external signalling can stabilise symptoms while quietly eroding flexibility, recovery dynamics, and independence from ongoing modulation. Across metabolic, autonomic, endocrine, immune, and neuroregulatory domains, chronic CB1 signalling promotes compensatory regulation that accumulates gradually and is poorly captured by short-duration studies or testimonials. The analysis reframes THC-related risk not as toxicity or misuse, but as a predictable outcome of temporal misalignment between acute effects and long-term system behaviour. Severe and refractory conditions, such as certain epilepsies, are explicitly addressed as distinct clinical contexts where acute risk reduction may justify signalling dampening. The paper cautions against extrapolating outcomes from such cases to long-term use in otherwise adaptable systems. This work forms part of a broader series examining context-dependent risks of THC and contributes a unifying temporal framework for evaluating cannabinoid interventions based on preservation of adaptive capacity rather than short-term symptom suppression.

Fields of Study & Subjects

Cannabis and Cannabinoid Research Stress Responses and Cortisol Receptor Mechanisms and Signaling

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 February 2026
Language
EN
Document type
Preprint