February 20, 2026

FSMA 204 + Metrc: A Dual‑Traceability Playbook for Hemp‑THC Beverages in 2025

FSMA 204 + Metrc: A Dual‑Traceability Playbook for Hemp‑THC Beverages in 2025

Why 2025 is the “build year” for FSMA 204 traceability

FSMA Section 204(d)—the FDA’s Food Traceability Rule—sets new recordkeeping expectations for many food supply chain participants. While the compliance date lands on January 20, 2026, the operational reality is that 2025 is the last full year to design, validate, and train teams on traceability workflows that will survive:

  • routine FDA inspections,
  • customer audits from national retailers and distributors,
  • and fast-moving incident response (withdrawals/recalls, quality holds, marketplace takedowns).

FDA’s model is straightforward but demanding: if you handle foods on the Food Traceability List (FTL), you must be able to produce required records—organized as an electronic sortable spreadsheet when requested—linking Critical Tracking Events (CTEs) to the right Key Data Elements (KDEs) and the right Traceability Lot Code (TLC).

Official references worth bookmarking now:

Important scope note for beverage brands

Not every beverage is automatically an FTL food. The FTL is a specific list of “high-risk” foods and categories. Many beverage SKUs will be outside the FTL, but brands making hemp‑derived cannabinoid drinks frequently:

  • co-manufacture in facilities that also handle FTL foods,
  • distribute through channels that require FSMA‑style traceability regardless of FTL scope,
  • or face state rules that impose cannabis-style tracking that looks and feels like FSMA 204 (lot coding + rapid retrieval + recall readiness).

So even if your drink is not an FTL food, building to FSMA 204 standards in 2025 is increasingly a commercial requirement—and a defensive compliance strategy.

The second traceability regime: state track‑and‑trace is converging on hemp beverages

Hemp‑derived cannabinoid beverages occupy a tricky regulatory middle. On paper, they may be sold through conventional retail in some states; in practice, more states are shifting these products into regulated cannabis-like frameworks or imposing parallel controls (age gates, serving limits, mandated lab testing, and—in some jurisdictions—track‑and‑trace reporting).

A clear example of stricter state posture is California. In 2024, California implemented emergency restrictions on industrial hemp products for human consumption. Among other provisions, the state’s public health communications emphasized no detectable total THC (and other “intoxicating cannabinoids”), an age 21+ restriction, and a five‑servings‑per‑package limit—paired with stepped-up enforcement tools (warnings, embargo/seizure, penalties, and recalls).

Key official link:

Even if you don’t sell in California, this matters federally because it signals what sophisticated regulators and retailers now expect: tight lot discipline, verifiable COAs, and clean data lineage from production through retail.

The open problem: mapping FSMA 204 records to Metrc package IDs without breaking recall chains

Many beverage operators are now forced to run two parallel “truth systems”:

  1. Food-grade traceability built around GS1 identifiers (GTIN + lot/batch) and FSMA-style KDEs.
  2. State track‑and‑trace built around a package UID (often a unique tag/label ID) plus state-specific inventory, transfers, and lab-test reporting.

If your team duplicates scans, re-keys identifiers, or prints conflicting codes, you risk:

  • “orphaned” lots (a retail unit can’t be tied to a production lot),
  • inconsistent COA linkage (COA references one lot, state system references another),
  • and slow or incomplete recall execution.

The goal is a dual-traceability playbook: one physical label strategy and one data model that satisfies both regimes with minimal friction.

FSMA 204 essentials you must design around

FSMA 204 is built around three concepts:

  • TLC (Traceability Lot Code): the lot identifier that links records across the supply chain.
  • CTEs (Critical Tracking Events): specific events where traceability data must be captured (e.g., shipping, receiving, transformation).
  • KDEs (Key Data Elements): the required data points you must record for each CTE.

The FDA also emphasizes that covered entities need a traceability plan that describes how records are maintained, where they live, and who the point of contact is.

For many beverage brands, the most relevant CTEs operationally are:

  • Transformation (turning ingredients into finished drink batches, rework, blending, repacking)
  • Shipping
  • Receiving

Even when the FTL does not strictly apply to your beverage, designing your system around these CTE/KDE patterns makes your program audit-ready—and helps harmonize with state track-and-trace event structures.

Metrc essentials you must design around

Metrc (or similar systems) typically treats “inventory objects” as packages with unique identifiers, and it records movements and status changes (creation, adjustment, transfer, testing, finishing, etc.). Metrc’s API and workflows include package endpoints and support for attaching external IDs/notes—useful for linking your food-grade lot code into the state system.

Reference (example API documentation portal): https://api-or.metrc.com/Documentation

The practical takeaway: you want a deterministic mapping between:

  • GS1 GTIN (product/SKU identity)
  • Food lot / TLC (batch identity)
  • Metrc package UID (state inventory identity)

…and you want that mapping to be captured once, automatically reused everywhere, and preserved across repacks and transformations.

A pragmatic “dual-traceability” schema for hemp beverage operators

Below is a schema that teams can implement in 2025 using common tooling (ERP, MES, WMS, a labeling system, and an integration layer to Metrc). This is informational only and should be adapted to your specific regulatory and quality requirements.

1) Establish a single “Primary Lot” that anchors everything

Define one Primary Lot ID for each finished beverage batch. This should be your TLC (or TLC-equivalent) and must be:

  • unique,
  • printable on finished goods,
  • and stable through the commercial life of that batch.

Recommended structure:

  • Primary Lot ID (TLC) = FacilityCode + ProductionDate + Line + BatchSequence

Example: ABQ01-2025-10-17-L2-B003

2) Treat GTIN as “what,” lot as “which,” Metrc UID as “state identity”

  • GTIN answers: “What product is this?” (SKU/formulation/size)
  • Primary Lot (TLC) answers: “Which production batch is this?”
  • Metrc Package UID answers: “Which state-tracked inventory object is this?”

This mental model prevents a common failure mode: teams try to use the state package UID as the lot code on retail units, which can explode label complexity and create repack chaos.

3) Implement a “Lot-to-Package Map” record (the bridging artifact)

Create a mandatory record in your internal system:

  • Primary Lot (TLC)
  • GTIN
  • Production run details (line, timestamp window)
  • Metrc Package UID(s) created from that lot
  • Quantity by package UID
  • COA reference(s)
  • Distribution destinations (shipments)

If you do nothing else, build this record so you can export it to an electronic sortable spreadsheet within hours.

4) Define transformation rules for repacks and co-packs

Beverage production often includes:

  • multiple canning days from one bulk blend,
  • rework,
  • multi-SKU variety packs,
  • re-labeling for different states,
  • and co-manufacturing.

Your SOP should define when a new Primary Lot (new TLC) is created. A conservative, audit-friendly approach:

  • New finished goods packaging run from bulk = new Primary Lot (new TLC)
  • Blending two bulk lots = new Primary Lot (new TLC), with full genealogy maintained
  • Repacking finished units into variety packs = keep original Primary Lot for each unit, and treat the variety pack as a transformation output with a “parent-child” mapping

This aligns well with how both FSMA-style traceability and state systems expect transformations to be recorded.

Labeling and scanning: one label strategy that can satisfy both regimes

Use a GS1 2D barcode as the primary machine-readable payload

GS1’s direction of travel is clear: a shift toward 2D barcodes (QR or DataMatrix) that can carry identifiers and attributes like lot and expiration.

A widely used approach is a GS1 Digital Link QR that encodes:

  • GTIN
  • Lot (Primary Lot / TLC)
  • (optional) expiration/best-by

GS1 reference (implementation journey guide): https://www.gs1.org/sites/gs1/files/2024-11/practical-guide-start-your-2d-barcode-journey-full-version.pdf

Also useful for FSMA-aligned implementation:

Where the state package UID lives

To avoid duplicative scans, don’t make the state UID your primary retail scan unless required by a specific jurisdiction. Instead:

  • print the state UID in human-readable form and/or as a secondary 2D symbol in a consistent location,
  • and capture the state UID at the case/pallet or production closeout step (not at every unit touch),
  • while your operational scanning (WMS, receiving, pick/pack) relies primarily on GS1 + Primary Lot.

In many operations, the unit-level GS1 scan is what drives speed and accuracy, and the state UID is captured at defined control points.

Retailers and marketplaces increasingly verify COAs, and enforcement actions can be triggered by missing, unverifiable, or inconsistent documentation.

A practical pattern:

  • GS1 Digital Link resolves to a brand-controlled landing page
  • that page provides COA access tied to Primary Lot
  • and displays key attributes (product name, lot, manufacture date, lab, test date)

This approach helps you update URLs and documentation without changing printed packaging, while keeping the lot linkage stable.

Testing and data integrity: why 2025 programs should tighten now

Traceability is only as strong as the data you attach to lots—especially lab results. Two federal/testing ecosystem developments are raising expectations for analytical rigor.

NIST hemp plant reference material (RM 8210)

NIST released Reference Material 8210 Hemp Plant to help laboratories measure cannabinoids and certain toxic elements with more consistent accuracy. This pushes the industry toward better calibration and comparability.

Official NIST announcement:

Certificate PDF:

Business implication: expect more labs—and more sophisticated buyers—to ask how your lab assures accuracy and how your COAs map cleanly to lots.

AOAC Cannabis Analytical Science Program (CASP)

AOAC INTERNATIONAL’s CASP continues to develop consensus standards and methods and supports proficiency testing programs that improve lab performance.

AOAC CASP overview:

When your compliance posture depends on COAs (and many hemp beverage channels do), you should treat lab data integrity as part of your traceability system—not a separate quality afterthought.

SOP playbook: how to run dual-traceability without duplicate scans

Here’s a pragmatic SOP stack beverage operators can implement during 2025.

H2: SOP 1 — Master data governance (GTIN, items, formulations)

  • Assign GTIN per SKU and maintain a controlled product master.
  • Define a single internal Item/SKU code that maps to GTIN.
  • Define naming conventions and versioning for formulations.

Takeaway: if your product master is messy, your lot traceability will be messy.

H2: SOP 2 — Lot creation + lot coding at the line

  • Create the Primary Lot (TLC) at batch release (or at packaging start, but be consistent).
  • Print lot + best-by on every unit in human-readable form.
  • Encode GTIN + lot in a GS1 2D barcode on every unit.

Control point: line clearance and first-article inspection must verify that lot, GTIN, and artwork match the scheduled run.

H2: SOP 3 — Package UID capture and linkage

  • When state package UIDs are issued/affixed, capture them once.
  • Immediately write the mapping: Metrc Package UID ↔ Primary Lot ↔ GTIN ↔ quantity.
  • Lock this mapping with QA review.

A best practice is to store this mapping in a system of record (ERP/MES) and push it into Metrc via integration fields (e.g., external ID / note fields) so auditors can see the linkage in both directions.

H2: SOP 4 — Transformation and repack genealogy

  • Define transformation triggers (new lot vs same lot).
  • Require genealogy records for:
  • bulk-to-finished conversions,
  • rework,
  • variety packs,
  • relabeling runs.

Make genealogy exportable as a sortable dataset so you can answer: “Which retail units and shipments were impacted by this input lot?”

H2: SOP 5 — Shipping/receiving and recall readiness drills

  • At shipping, scan GS1 2D (GTIN+lot) at case/pallet build.
  • Store shipment KDE-equivalents: ship date/time, ship-from, ship-to, carrier, quantities by lot.
  • Run quarterly mock recalls in 2025 and measure:
  • time to identify all affected customers,
  • time to produce the record set,
  • and percent of shipments fully reconciled to lots.

FSMA 204 anticipates rapid record availability; practicing in 2025 prevents “spreadsheet panic” in 2026.

What to expect in audits and enforcement in 2025–2026

Retailer and marketplace checks will look like “mini traceability audits”

Even outside FSMA 204 FTL scope, many channels will ask for:

  • lot coding and expiry discipline,
  • COAs tied to the lot on the can,
  • consistent product identity across label, COA, and systems,
  • and the ability to isolate impacted inventory quickly.

Federal and state enforcement can converge on documentation gaps

FDA has repeatedly stated that certain cannabinoid-containing foods and beverages are unlawfully marketed under the FD&C Act in many contexts, and warning letters remain a meaningful enforcement tool—especially where labeling or claims create risk.

FDA constituent update (CBD food and beverage warning letters):

FTC/FDA joint actions have also targeted packaging that looks like children’s foods/snacks:

Takeaway: traceability, testing integrity, and responsible labeling are increasingly evaluated together.

Implementation timeline: a realistic 2025–January 2026 plan

H2: Q1–Q2 2025 — Architecture and label decisions

  • Choose your Primary Lot structure and governance.
  • Implement GTIN discipline and clean product master data.
  • Decide on GS1 2D (Digital Link or element string) payload.
  • Design the Lot-to-Package Map dataset.

H2: Q3 2025 — Integrations, training, and first mock recall

  • Integrate ERP/MES/WMS with state reporting workflows.
  • Implement scanning at the right control points.
  • Run mock recall #1 and fix gaps.

H2: Q4 2025 — Scale, audit prep, and second mock recall

  • Add co-manufacturers and 3PLs into the same data expectations.
  • Validate that your records export cleanly to a sortable spreadsheet.
  • Run mock recall #2 with a “weekend scenario” (limited staff, time pressure).

H2: January 2026 — Go-live discipline

  • Freeze naming conventions.
  • Lock training and refresher cadence.
  • Ensure your traceability plan documentation is current and accessible.

Key takeaways for hemp beverage operators

  • Don’t wait for January 2026. Treat 2025 as your build-and-test year for FSMA 204-style traceability.
  • Design one primary lot code (TLC-equivalent). Make it the anchor for COAs, labels, shipments, and investigations.
  • Bridge—not duplicate—systems. Maintain a clean Lot-to-Package Map linking GS1 identifiers to state package UIDs.
  • Use GS1 2D barcodes strategically. They reduce friction, improve recall speed, and support consumer/retailer COA access.
  • Strengthen lab data integrity. NIST reference materials and AOAC method programs are raising expectations for testing quality and documentation.

Disclaimer

This article is for informational purposes only and does not constitute legal advice. Regulatory obligations vary by product, claims, ingredients, and jurisdiction. Consult qualified counsel and your compliance team for advice specific to your operations.

Next step: build your dual-traceability system with CannabisRegulations.ai

If you’re designing FSMA 204 hemp beverage traceability while also preparing for state track-and-trace reporting, you don’t need two disconnected programs—you need one coherent operating system.

Use https://cannabisregulations.ai/ to:

  • monitor federal and state regulatory changes,
  • build SOPs and record templates that match your channel strategy,
  • and pressure-test your recall readiness before 2026 deadlines arrive.