Addiction as Stuck-State Substrate Lock-In

On the Creation of This Report This Architect Report was produced through the Redacted Science Seed Analysis Process, a structured human-AI collaborative methodology developed over the preceding months. We developed a model with Claude and Grok — the Redacted Science Model of Candida albicans as a Biochemical Computer. Acceptance of that model opens a door in science that has been locked for 60 years. From there, we opened the door and developed further framework layers on top of it. A Seed Document was then created to enable AI to analyze specific subjects from the perspective of the model. The Seed Document specifies a subject, the foundational framework papers, and structural requirements for the resulting output. This report's first draft was created by providing ChatGPT with the Seed Document, the foundational framework papers, and the specific subject (endometriosis). ChatGPT generated the initial draft, citing available sources and flagging gaps where external literature was needed. The flagged gaps were then resolved through targeted literature search, and the identified peer-reviewed sources were integrated into the final draft. Each subsequent revision is versioned. This paper is therefore an instance of a reproducible methodology: a framework encoded in foundational papers, a structured seed, and an AI-assisted drafting process with human verification at each stage. The methodology itself is documented in the Redacted Science Paper Seed Master.ChatGPT is on the approved list for generation. Grok is not compatible.This is version 2. Version 1 is available to compare. Version 1 was built using the Seed master, supporting citations, and the Redacted Science Research Initiative Framework papers. Version 2 was built by identifying gaps in Version 1, seeking additional literature, revising the bracketed Architect asides, and reconfiguring the presentation of references. ABSTRACT Substance use disorders are conventionally understood through reward circuitry, receptor adaptation, psychosocial exposure, trauma history, drug availability, and learned behavior. Under the Redacted Science framework, those explanations are not rejected. They are reorganized around an additional upstream layer: organism-host governance. This paper proposes that addiction phenotypes — substance use disorders, polysubstance use, polypharmacy, post-acute withdrawal, and relapse — represent stuck-state substrate lock-in expressions, in which Candida albicans and the host system have rebalanced around recurrent exogenous substrate inputs. Craving is read as organism-to-host signaling demanding substrate restoration. Withdrawal is read as system distress during substrate restriction. Tolerance and relapse are read not only as host receptor adaptation, but as organism-state recalibration around repeated substrate exposure. The central claim is two-part. First, the organism layer is real, measurable, and predictive. Second, it integrates with existing neurobiological, psychosocial, trauma, and behavioral models rather than displacing them. The framework does not claim that C. albicans causes addiction. It claims that addiction vulnerability, substance selection, cross-substance switching, polysubstance use, post-acute withdrawal, and relapse may stratify by organism burden, organism state, mycobiome composition, endocannabinoid tone, autonomic stability, tryptophan-kynurenine routing, and chromatin-encoded fungal metabolic state. The molecular architecture centers on Cyr1, the C. albicans adenylyl cyclase convergence node. Cyr1 integrates multiple weighted inputs of mixed valence into cAMP-PKA morphogenetic decision output: host metabolic gas through CO₂ and bicarbonate, bacterial neighbor signal through peptidoglycan, organism population-density signal through farnesol via Ras1, and host-physiology input routed through Gpr1, including lactate, methionine, and functional dopaminergic ligand-space overlap. The user does not act on Cyr1 directly. The user acts on the host system whose state Cyr1 reads, integrates, and converts into morphogenetic output. Multiple weighted inputs are compiled into a single decision variable; the framework's distinctive claim is the convergence architecture, not the input list. The paper further identifies polypharmacy as the brittle prescribed-substance subgroup of the same umbrella mechanism. Polypharmacy-with-formication validation is identified as the framework-neutral lead clinical test: a population already under medical monitoring, with formication reports the framework reads as biological rather than psychiatric and which mechanical and antifungal tests can validate. Alcohol use disorder enters the deployment sequence as a post-detox relapse-prevention follow-on, not active-drinking pretreatment, because antifungal-alcohol interaction and hepatotoxicity risk make active-drinking pharmacological intervention inappropriate.