Vol. 0.1 / 2026
An open methodology for what medical cannabis actually does to you.
Strain names lie. THC percentage is a poor predictor of effect. Phenologue is a structured self-assessment protocol that captures the chemotype of what you took, the state you started in, the state you ended in, and the difference between them — for you, and as part of an open research dataset.
The problem with cannabis prescribing today
UK medical cannabis prescribing runs on patient self-report (anecdotal), manufacturer claims (sativa/indica/hybrid, largely meaningless at the chemovar level), and clinical experience that is variable across prescribers. There is no industry-standard structured patient-reported outcomes data.
Phenologue is an attempt to build that record. It treats the patient as a capable scientist of their own experience and gives them the protocol, the tooling, and the data ownership to act like one.
What you get
- Pre / post / next-day deltas on standardised 0–10 scales, tied to the specific batch you used.
- Chemotype classification, not strain name — limonene-dominant / pinene-secondary tells you something useful about effect; "Sativa Hybrid" doesn't.
- Inferred terpene profiles when you don't have a COA, drawn from your organoleptic assessment — explicitly flagged as inferred, never presented as measured.
- Personal data export in JSON or CSV, any time, no friction. Anonymised aggregate research dataset is opt-in only.
What it isn't
- Not a medical device.
- Not a diagnostic tool.
- Not a substitute for clinical advice.
- Not a regulated medical record.
Status
The code is open under MIT and the methodology is open under CC BY-SA 4.0. Substantive changes to the protocol go through a public RFC period. Feedback and contributions are welcomed via the project repository.