Psilocybin and psilocin research trends

Research records by year and evidence status

Year comes from the stored publication or registry date. For a trial registration it is not necessarily the study start, completion or results-publication year. “Published” is the tracker's formal-publication label; it is not an independent peer-review audit. “Other” includes reviews, protocols and any uncategorized status.

Use the year links to inspect and export the underlying records. Compare completed calendar years, separate registrations and preprints, and account for backfills or curation before interpreting a change as research growth.

Source composition and identifier completeness

4,322 records (85.3%) have a DOI; 2,974 (58.7%) have a PubMed identifier. These groups overlap and must not be added. A missing DOI does not imply poor study quality; many registry records use an NCT identifier instead.

Source shares describe the retained primary label, not acquisition yield or exclusive database coverage. The same work may exist in several upstream databases. OpenAlex enrichment can add identifiers or citation context while preserving a different primary source.

Study designs in the indexed literature

Study-type classifications are discovery aids derived from source metadata and screening rules. They do not evaluate bias, sample size, replication or certainty of evidence. Unclassified records are absent from this table.

Use the topic and study-type evidence map for indication-specific discovery. Use the clinical-trial tracker and recruiting-trial collection for registry status rather than inferring recruitment from a publication year.

Reproduce and interpret this analysis

Tables use visible records only: hidden and false-positive records are excluded. Each record contributes once to its stored year and status. Unknown years are counted separately. Deduplication reduces duplicate manifestations but does not guarantee that every row represents an independent study; protocols, preprints and reports can describe related work.

Download the public SQLite core and run the SQL in the dataset guide, or use the R bibliometrics toolkit. Retain the download date and file checksum. Counts can change retrospectively when older records are added or duplicates are reconciled. The fixed Zenodo v1.0.6 snapshot has a different, immutable record set.

For source selection and correction procedures see the editorial policy. For record relationships explore the citation network and author directory. These descriptive counts cannot establish clinical efficacy, safety or scientific consensus.