Evidence map›Paper›PMID 41637991›Full record

ArticleThe International journal on drug policy2026

Urban-rural disparities in oral nicotine pouch sales and flavors in the United States.

Lei Xu, Saber Feizy, Megan E Roberts, Ce Shang, Brittney Keller-Hamilton, Darren Mays, Shyanika W Rose, Yanyun He

Abstract read
In one paragraph

Article in The International journal on drug policy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Lei XuCenter for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
Saber FeizyCenter for Health, Engagement, & Transformation (CHET), College of Medicine, University of Kentucky, Lexington, KY, USA.
Megan E RobertsCenter for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA; College of Public Health, The Ohio State University, Columbus, OH, USA.
Ce ShangCenter for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA; Division of Medical Oncology, Department of Internal Medicine, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Brittney Keller-HamiltonCenter for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA; Division of Medical Oncology, Department of Internal Medicine, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Darren MaysCenter for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA; Division of Medical Oncology, Department of Internal Medicine, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Shyanika W RoseCenter for Health, Engagement, & Transformation (CHET), College of Medicine, University of Kentucky, Lexington, KY, USA.
Yanyun HeCenter for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA. Electronic address: Yanyun.He@osumc.edu.

Funding

The Ohio State University Tobacco Center of Regulatory Science (OSU-TCORS)U54CA287392 · NCI · OHIO STATE UNIVERSITY · PI Peter G. Shields, Theodore Lee Wagener · 2023 to 2026
$19.5M
AppalTRuST Project 3: Impact of proposed tobacco product rules in Appalachia on consumption and product switching with the Experimental Tobacco MarketplaceU54DA058256 · NIDA · UNIVERSITY OF KENTUCKY · PI Mikhail Nikolaas Koffarnus · 2023 to 2026
$19.2M
NCI NIH HHS U54 CA287392NIDA NIH HHS U54 DA058256
6 · The paper itself

Abstract

backgroundAs oral nicotine pouches (ONPs) gain popularity in the United States, the extent to which product attributes, such as price and flavor, affect sales remains unclear. Examining urban-rural differences is particularly important given longstanding disparities in smokeless tobacco use and tobacco-related health outcomes across these settings, yet little is known about whether ONP sales and attribute preferences differ between urban and rural areas.

objectivesThis study aims to examine how ONP sales are associated with product attributes and sales locations (rural vs. urban), and whether the associations between sales and attributes differ by urban/rural locations.

methodsWe linked 2021 NielsenIQ retail sales data with the National Center for Health Statistics county-level urban/rural classifications. Flavors were grouped as implicit (marketed without explicit flavor names), mint/menthol, fruity, or other. Multivariable linear regression models were used by regressing ONP sales on product attributes, rural/urban status, and their interactions.

resultsIn 2021, 88% of total ONP sales occurred in urban areas, compared with 12% in rural areas. ONP sales per 1000 population were 16% higher in rural than urban areas (p < 0.001). Compared to the sales of implicitly flavored ONPs, sales of mint/menthol, fruit, and other flavors were approximately 23-fold, 4-fold, and 7-fold higher, respectively. These flavor-related differences were less pronounced in rural counties than in urban counties. The price elasticity of demand was -0.66 (p < 0.001) in urban areas and -0.33 (p < 0.001) in rural areas.

conclusionsONP sales exhibit significant urban-rural disparities, with rural areas showing higher per capita sales overall, but urban areas showing stronger preferences for flavored products and greater price responsiveness. As a result, regulatory measures targeting flavors or pricing may have a greater impact in urban areas compared to rural ones.

Indexed as

CommerceFlavoring AgentsNicotineRural PopulationUrban PopulationHumansUnited StatesFlavoring AgentsNicotineFlavorOral nicotine pouchPrice elasticitySales disparityUrban-rural classification

Identifiers

PMID41637991
PMCPMC13089354

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.