Detailed look at what medical cannabis products patients actually buy in New York

A cross-sectional study characterized the cannabis products purchased from a single New York State manufacturer, providing rare real-world data on medical cannabis product selection patterns.

Kritikos, Alexandra F et al.·JAMA network open·2022·Moderate EvidenceCross-Sectional
RTHC-03981Cross SectionalModerate Evidence2022RETHINKTHC RESEARCH DATABASErethinkthc.com/research

Quick Facts

Study Type
Cross-Sectional
Evidence
Moderate Evidence
Sample
Not reported

What This Study Found

This study examined medical cannabis product purchases in New York State from dispensaries operated by a single integrated manufacturer, characterizing what products patients actually selected in a tightly regulated market.

Key Numbers

New York State dispensary purchase data from a single integrated manufacturer-retailer. Specific product details characterized.

How They Did This

Cross-sectional study of medical cannabis product purchases made in New York State dispensaries operated by a single licensed manufacturer and retail company. Published in JAMA Network Open.

Why This Research Matters

Most medical cannabis research relies on self-report. This study uses actual purchase data from a regulated market, providing objective insight into patient product preferences.

The Bigger Picture

As medical cannabis markets mature, understanding actual purchasing behavior helps regulators, clinicians, and researchers align product availability with patient needs.

What This Study Doesn't Tell Us

Single manufacturer in one state. New York had one of the most restrictive medical cannabis programs at the time. May not represent patient preferences in less regulated markets.

Questions This Raises

  • ?Do patients in less restrictive states choose different products?
  • ?Does product type influence treatment outcomes?

Trust & Context

Key Stat:
Real purchase data from a regulated NY dispensary system
Evidence Grade:
Cross-sectional study using objective purchase data from a regulated market, published in JAMA Network Open.
Study Age:
Published in 2022.
Original Title:
Characterization of Cannabis Products Purchased for Medical Use in New York State.
Published In:
JAMA network open, 5(8), e2227735 (2022)
Database ID:
RTHC-03981

Evidence Hierarchy

Meta-Analysis / Systematic Review
Randomized Controlled Trial
Cohort / Case-Control
Cross-Sectional / ObservationalSnapshot without intervening
This study
Case Report / Animal Study

A snapshot of a population at one point in time.

What do these levels mean? →

Frequently Asked Questions

What medical cannabis products do patients actually buy?

This study used real purchase data from New York State dispensaries to characterize product selection, providing objective data rather than relying on patient self-report.

Does the type of medical cannabis product matter?

By documenting what patients actually purchase in a tightly regulated market, this study helps establish baseline data for future research on whether product type affects outcomes.

Read More on RethinkTHC

Cite This Study

RTHC-03981·https://rethinkthc.com/research/RTHC-03981

APA

Kritikos, Alexandra F; Pacula, Rosalie Liccardo. (2022). Characterization of Cannabis Products Purchased for Medical Use in New York State.. JAMA network open, 5(8), e2227735. https://doi.org/10.1001/jamanetworkopen.2022.27735

MLA

Kritikos, Alexandra F, et al. "Characterization of Cannabis Products Purchased for Medical Use in New York State.." JAMA network open, 2022. https://doi.org/10.1001/jamanetworkopen.2022.27735

RethinkTHC

RethinkTHC Research Database. "Characterization of Cannabis Products Purchased for Medical ..." RTHC-03981. Retrieved from https://rethinkthc.com/research/kritikos-2022-characterization-of-cannabis-products

Access the Original Study

Study data sourced from PubMed, a service of the U.S. National Library of Medicine, National Institutes of Health.

This study breakdown was produced by the RethinkTHC research team. We analyze and report published research findings without making health recommendations. All interpretations are based solely on the published abstract and study data.