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Open Source Apothecary At Home

Open Source Apothecary At Home / Reference

The open data behind this handbook

Every quotation is machine-checked against the abstract it came from. Here is the machinery, and here is how to check it.

guide

This handbook is generated from PubMed data, and the generation is reproducible and inspectable. That is the difference between it and a book.

How a page is built. For each topic, a query is run against PubMed's E-utilities with a publication-type filter that restricts the result to systematic reviews, meta-analyses and randomised controlled trials. Up to twelve records are fetched with their abstracts, parsed for publication type, journal, year and the conclusion paragraph, and stored as JSON.

How a quotation is verified. The sentence shown on a page under "What the studies found" is copied verbatim from the abstract of the record it is attributed to. Before the site is built, every one of those quotations is checked against the stored abstract — normalising whitespace, case and typography — and the build refuses to write a site containing a quotation that is not literally present in its abstract, a citation to a paper that is not in the evidence set, or a topic with no evidence. A failed build is a real failure, not a warning.

What that guarantees, and what it does not. It guarantees that a quotation is what the paper says. It does not guarantee that the paper is right, that the trial was well conducted, or that the effect generalises. A meta-analysis with very low certainty is quoted as such, in its own words, which is the most honest thing this format can do.

The chemistry is looked up, not remembered. Boiling points, molecular formulas and the physical facts that constrain the preparation chapters come from PubChem records pulled into the project. The distillation chapter's central claim — that a still at 78-100 C cannot carry minerals — is a statement about vapour pressure and boiling point, and it is the reason no essential oil is a mineral tonic.

No sponsors, no affiliate links, no advertising. The site loads no external resources, sets no cookies, and makes no requests off the page. There is nothing to monetise and nothing tracking the reader.

Licensing. Content under CC BY-SA 4.0; code under MIT; the underlying evidence is public-domain PubMed material and PubChem data. Anyone can fork it, re-run the harvest, change the topic set, and publish their own version — and if they disagree with a quotation, they can check it against the abstract in one click.

How to check a claim you doubt. Click the PubMed link on any evidence card. The abstract is free, and it is the same text the quotation was taken from. If the quotation is not in it, that is a bug and it is the kind that matters.

What the studies found

Meta-Analysis2025The Cochrane database of systematic reviews

Stimulation of the wrist acupuncture point PC6 for preventing postoperative nausea and vomiting: a network meta-analysis.

NMAs suggest that both invasive and noninvasive PC6 acupoint stimulation combined with antiemetics may reduce PON and POV, compared to sham, and likely lower rescue antiemetic use.
PubMed 40938065 ↗
Meta-Analysis2024Journal of ethnopharmacology

Herbal medicine for Hashimoto's thyroiditis: A systematic review and network meta-analysis.

Herbal medicines may be effective in the treatment of HT, especially in reducing thyroid antibody levels and improving clinical symptoms without affecting thyroid function.
PubMed 38181936 ↗
Meta-Analysis2024Complementary therapies in medicine

Clinical effects of Hibiscus sabdariffa Linn. on obesity treatment: A systematic review and meta-analysis of randomized controlled trials.

Our study did not show a clinical benefit of H. sabdariffa extract in obesity treatment.
PubMed 38878905 ↗
Meta-Analysis2024Current medicinal chemistry

Does Quinoa (Chenopodium quinoa) Consumption Improve Blood Glucose, Body Weight and Body Mass Index? A Systematic Review and Dose-Response Meta-Analysis of Clinical Trials.

The present analysis revealed the beneficial effects of quinoa on the blood glucose level.
PubMed 36847233 ↗

Preparation

The pipeline

1. `research/queries.py` — the PubMed queries, with a publication-type filter on every topic 2. `research/harvest.py` — fetches and parses records into `research/evidence/<key>.json` 3. `research/pubchem_fetch.py` — pulls compound records into `research/pubchem/` 4. `research/topics_*.py` — the authored topics: prose, cautions, red flags, and which queries supply the evidence 5. `research/assemble.py` — writes `content/<slug>.json`, lifting a verbatim quotation per study 6. `scripts/build_site.py` — validates every quotation against its abstract, then renders the site

Re-running it

``` python3 research/harvest.py python3 research/assemble.py python3 scripts/build_site.py ```

Adding records to the harvest automatically makes new findings available to the topics that cite those query keys.

The validation, specifically

  • Every `finding` must appear verbatim in the abstract of the PMID it is attributed to
  • Every inline citation `[[query-key:PMID]]` must resolve to a harvested record
  • A topic with no evidence is a build failure, not an empty page
  • Duplicate slugs are a build failure

What the format cannot do

  • It cannot assess whether a trial was well conducted. The publication type is
  • It cannot detect a well-conducted trial with a wrong conclusion.
  • It cannot tell you the paper was retracted — check the PubMed record for that.

Checking any claim yourself

  • Click the PubMed link. The abstract is free and is the source of the quotation.
  • If a quotation is not in the abstract, that is a bug.

Cautions and interactions

Related

Sources

  1. Stimulation of the wrist acupuncture point PC6 for preventing postoperative nausea and vomiting: a network meta-analysis. The Cochrane database of systematic reviews 2025; doi:10.1002/14651858.CD003281.pub3 PubMed 40938065
  2. Herbal medicine for Hashimoto's thyroiditis: A systematic review and network meta-analysis. Journal of ethnopharmacology 2024; doi:10.1016/j.jep.2023.117663 PubMed 38181936
  3. Clinical effects of Hibiscus sabdariffa Linn. on obesity treatment: A systematic review and meta-analysis of randomized controlled trials. Complementary therapies in medicine 2024; doi:10.1016/j.ctim.2024.103063 PubMed 38878905
  4. Does Quinoa (Chenopodium quinoa) Consumption Improve Blood Glucose, Body Weight and Body Mass Index? A Systematic Review and Dose-Response Meta-Analysis of Clinical Trials. Current medicinal chemistry 2024; doi:10.2174/0929867330666230227151852 PubMed 36847233