# Nicotine and Cigarettes Across Policy Environments

> **NIH NIH P01** · MEDICAL UNIVERSITY OF SOUTH CAROLINA · 2020 · $511,586

## Abstract

PROJECT SUMMARY/ABSTRACT 
There is a large gap in understanding the functions of vaporized nicotine products (VNPs); i.e. what they do 
and what exposures they achieve with each episode of use, and the extent to which this might vary and thus 
average out over time. This project is designed to answer a broad set of questions about the evolution of the 
nicotine delivery marketplace in countries with differing policy frameworks towards VNPs. Specifically, the 
proposed research revolves around three major questions: 1) How does the policy environment in a country 
affect the mix of product types and brands (both VNPs such as e-cigarette and conventional cigarette) used 
most commonly? 2) Does regulation of VNPs as a medicine versus recreational use affect VNP contents, 
labeling accuracy, nicotine emission and delivery, and unit variability? 3) Do product characteristics and/or 
brand preferences shift as VNP use changes with time? Surveillance of product characteristics during the 
project period will allow the investigative team to elucidate the potential roles of consumer preference, 
regulation, and larger market dynamics (e.g., mergers and acquisitions) in changes to product performance 
and brand share.

## Key facts

- **NIH application ID:** 9902369
- **Project number:** 5P01CA200512-05
- **Recipient organization:** MEDICAL UNIVERSITY OF SOUTH CAROLINA
- **Principal Investigator:** RICHARD J O'CONNOR
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $511,586
- **Award type:** 5
- **Project period:** — → 2021-09-15

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9902369

## Citation

> US National Institutes of Health, RePORTER application 9902369, Nicotine and Cigarettes Across Policy Environments (5P01CA200512-05). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9902369. Licensed CC0.

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