---
pretty_name: DrugHub Market Snapshot (September 2026)
license: cc-by-nc-sa-4.0
language:
  - en
size_categories:
  - 100K<n<1M
tags:
  - darknet
  - marketplace
  - drug-policy
  - measurement
  - reviews
configs:
  - config_name: listings
    data_files: listing_pages.parquet
  - config_name: shipping_options
    data_files: shipping_options.parquet
  - config_name: bulk_options
    data_files: bulk_options.parquet
  - config_name: vendors
    data_files: vendor_pages.parquet
  - config_name: reviews
    data_files: reviews.parquet
  - config_name: vendor_pgp_keys
    data_files: vendor_pgp_keys.parquet
  - config_name: vendor_listing_titles
    data_files: vendor_listing_titles.parquet
  - config_name: rosters
    data_files: rosters.parquet
  - config_name: roster_entries
    data_files: roster_entries.parquet
  - config_name: category_counts
    data_files: category_counts.parquet
  - config_name: category_count_entries
    data_files: category_count_entries.parquet
  - config_name: fetch_log
    data_files: fetch_log.parquet
  - config_name: listing_enrichment
    data_files: listing_enrichment.parquet
---

# DrugHub Market Snapshot, September 2026

A complete, text-only capture of the public listing, vendor, and review pages of
DrugHub, a Monero-only darknet market operating since 2023. Everything here was
visible to any visitor without an account. Doesn't include any images.

Collected 16-17 September 2026. Enriched with model-derived labels
(`typesafe/jev-1.13`) on 19 September 2026; see the `listing_enrichment`
table and the Enrichment section below.

## What's in it

| Table | Rows | Description |
|---|---|---|
| `listings` | 22,621 | One row per listing page: title, category, description, refund policy, prices, stock, shipping, unit, minimum order, vendor stats as shown on the listing. |
| `shipping_options` | 57,982 | Shipping methods per listing with XMR and fiat prices. |
| `bulk_options` | 82,135 | Bulk price tiers per listing. |
| `vendors` | 9,418 | One row per vendor page fetched (profile plus each review page). Profile stats, seven average ratings, about text. Filter `page_r = 0` for one row per vendor (1,598). |
| `reviews` | 423,003 | Every review on the site: listing title, date, and seven percentage scores. |
| `vendor_pgp_keys` | 1,676 | PGP public keys as published on vendor profiles. |
| `vendor_listing_titles` | 35,793 | Every listing title each vendor has been reviewed on, including delisted ones. |
| `rosters`, `roster_entries` | 91 / 145,422 | Snapshots of the sidebar vendor roster with feedback percentages, deduplicated by content. |
| `category_counts`, `category_count_entries` | 16 / 1,888 | Snapshots of the category tree with listing counts. |
| `listing_enrichment` | 22,621 | Model-derived labels per listing (language, substance, form, purity claim, and 12 other fields). See "Enrichment" below. |
| `fetch_log` | 35,402 | Every HTTP fetch made, including failures, with timestamp, status, and content hash. Page bodies are not included. |

Every parsed row carries a `fetch_id` that points into `fetch_log`, and a
`fetched_at` unix timestamp.

## Coverage

- **Listings:** 22,621 of the 22,641 discovered; the other 20 were removed by
  the site during the crawl. 434 are digital goods with no shipping
  destination.
- **Vendors:** 1,598 of 1,601 on the roster; 3 profiles returned 404.
- **Reviews:** all review pages of all vendors, July 2023 to 17 September 2026.
  1,416 vendors have at least one review.

## Listings by category

| Category | Listings | Subcategories |
|---|---|---|
| Drugs | 20,429 | 67 |
| Forgeries / Counterfeits | 1,540 | 4 |
| Services | 415 | 11 |
| Software | 228 | 5 |
| Defense / Counter Intel | 9 | 4 |

Largest subcategories: Prescription Drugs (3,080), Cannabis - Buds and Flowers
(3,079), Steroids (1,353), Benzos - Pills (1,337), Stimulants - Cocaine (964),
Watches (838), Dissociatives - Ketamine (794), Psychedelics - LSD (617).

Shipping origins are led by the United States (6,093), United Kingdom (4,286),
India (2,616), Germany (2,216), China (1,897), and Australia (1,267). Prices are
quoted in XMR plus one of USD, EUR, GBP, AUD, or CAD; the site's own exchange
rates at fetch time are on every row (`xmr_usd`, `xmr_eur`, ...).

## Reviews by year

| Year | Reviews |
|---|---|
| 2023 | 23 |
| 2024 | 12,515 |
| 2025 | 150,520 |
| 2026 (to 17 Sep) | 259,945 |

## Things to know before using it

- **Prices are as displayed.** Nothing has been converted. Use the per-row
  exchange rates or your own historical series.
- **Reviews have no identifier and no text.** They are numeric scores plus a
  date, listed newest first. Their position on a page can shift as new reviews
  arrive, so a small number may be duplicated across page boundaries. Reviews
  with identical (vendor, listing title, date, scores) are common and mostly
  genuine; the data has not been deduplicated.
- **Reviews reference listing titles, not ids.** Joining on (vendor, title)
  matches about 63% of reviews to a current listing. The rest are on delisted,
  renamed, or private listings.
- **Relative dates are stored as shown** ("21 months ago", "Today"). Resolve
  them against `fetched_at`.
- **`vendors` is one row per page**, so profile stats repeat across a vendor's
  review pages. Filter `page_r = 0` unless you want the review pages.
- **Vendor ratings are near-uniform** (80% of vendors at 98-100%). Cancellation
  and dispute counts carry more signal.
- **Free text is raw.** Descriptions keep their original line breaks and any
  decorative characters. The site enforces a 50-character minimum and roughly a
  10,000-character maximum.
- **Category is the market's own tree**, not a normalised taxonomy. About 10% of
  listings are outside the Drugs category.

## Enrichment (model-derived, not ground truth)

`listing_enrichment` holds one row per listing with labels produced by
`typesafe/jev-1.13`, a classification-only model that picks from options we
define and returns a probability distribution. Every enumeration includes an
escape option (`other_listed_class`, `not_stated`, `unknown`, ...), and each
choice column has a companion `<field>_p` with the probability of the chosen
option. `answers_json` carries the full distributions. Treat these as
annotations to be thresholded, not facts.

| Field | Type | What it answers |
|---|---|---|
| `language` | choice | Primary language of the description (ISO code, `mixed`, `other`, `unknown`) |
| `substance` | choice | Substance sold, from a per-subcategory vocabulary (Drugs only) |
| `product_type` | choice | Product kind for non-drug categories |
| `form` | choice | Physical form (pill, powder, crystal, flower, vape, blister_pack, ...) |
| `purity_claim` | choice | Stated purity/potency bucket (`none`, `under_50`, `50_79`, `80_94`, `95_plus`) |
| `lab_tested` | 0-1 | Claims lab testing |
| `pharma_claim` | choice | Presented as genuine pharmaceutical, replica/pressed, or not applicable |
| `counterfeit_risk` | 0-1 | Imitates a pharmaceutical product (branded press, fake blister, RC substitution) |
| `quantity_stated` | choice | Whether the price maps to a stated quantity |
| `wholesale` | 0-1 | Bulk/wholesale orientation |
| `stealth_described` | 0-1 | Packaging/stealth described |
| `tracking` | choice | Tracked, untracked, both, not stated |
| `fe_required` | 0-1 | Vendor asks for Finalize Early / early escrow release |
| `external_contact` | choice | Mentions an outside channel (see caveat) |
| `cross_market` | 0-1 | Mentions history on another darknet market |
| `harm_reduction` | 0-1 | Contains dosing guidance or safety warnings |
| `fentanyl_mention` | choice | `none`, `claims_free`, `contains`, `warning` |
| `text_style` | choice | `terse`, `handwritten`, `marketing`, `template`, `other` |

Notes:

- `prompt_version` is `2` for most rows and `3` for Prescription Drugs,
  Peptides, Steroids, and Benzos - Pills, where the substance vocabulary was
  expanded after a first pass. All other questions are identical across
  versions.
- `substance` vocabularies were built from title-token frequencies per
  subcategory. Prescription Drugs uses therapeutic-class buckets for the long
  tail; about 12% of that subcategory still lands in `other_listed_class`.
- `external_contact` has low precision: its `other_platform` value often
  reflects a mention of another site or market rather than an actual handle.
- The model saw the title, category, unit, origin, and the first 2,500
  characters of the description.