» Articles » PMID: 29547973

Behavioral Economic Purchase Tasks to Estimate Demand for Novel Nicotine/tobacco Products and Prospectively Predict Future Use: Evidence From The Netherlands

Overview
Specialty Public Health
Date 2018 Mar 17
PMID 29547973
Citations 25
Authors
Affiliations
Soon will be listed here.
Abstract

Introduction: The demand for alternative nicotine/tobacco products is not well established. This paper uses a behavioral economic approach to test whether smokers have differential demand for conventional factory-made, electronic, and very low nicotine content cigarettes (FMCs/ECs/VLNCs) and uses the prospective cohort design to test the predictive validity of demand indices on subsequent use of commercially available FMCs and ECs.

Methods: Daily smokers (≥16 years) from the Netherlands completed an online survey in April 2014 (N = 1215). Purchase tasks were completed for FMCs, ECs, and VLNCs. Participants indicated the number of cigarettes they would consume in 24 h, across a range of prices (0-30 euro). The relationship between consumption and price was quantified into four indices of demand (intensity, Pmax, breakpoint, and essential value). A follow-up survey in July 2015 measured FMC and EC use.

Results: At baseline, greater demand was observed for FMCs relative to ECs and VLNCs across all demand indices, with no difference between ECs and VLNCs. At follow-up, greater baseline FMC demand (intensity, essential value) was associated with lower quit rates and higher relapse. EC demand (Pmax, breakpoint, essential value) was positively associated with any EC use between survey waves, past 30 day EC use, and EC purchase between waves.

Conclusions: Smokers valued FMCs more than ECs or VLNCs, and FMCs were less sensitive to price increases. Demand indices predicted use of commercially available products over a 15 month period. To serve as viable substitutes for FMCs, ECs and VLNCs will need to be priced lower than FMCs.

Implications: Purchase tasks can be adapted for novel nicotine/tobacco products as a means to efficiently quantify demand and predict use. Among current daily smokers, the demand for ECs and VLNCs is lower than FMCs.

Citing Articles

Dose by design: How limits on nicotine flux and puff duration affect the abuse liability of electronic nicotine delivery systems.

Bono R, White A, Imran R, Maldonado G, Lipato T, Barnes A Drug Alcohol Depend. 2024; 266():112508.

PMID: 39657440 PMC: 11736901. DOI: 10.1016/j.drugalcdep.2024.112508.


Human laboratory models of reward in substance use disorder.

Johansen A, Acuff S, Strickland J Pharmacol Biochem Behav. 2024; 241():173803.

PMID: 38843997 PMC: 11223959. DOI: 10.1016/j.pbb.2024.173803.


Illicit purchasing and use of flavour accessories after the European Union menthol cigarette ban: findings from the 2020-21 ITC Netherlands Surveys.

N Kyriakos C, Driezen P, Fong G, Chung-Hall J, Hyland A, Geboers C Eur J Public Health. 2023; 33(4):619-626.

PMID: 37527828 PMC: 10393478. DOI: 10.1093/eurpub/ckad049.


E-cigarette Price Impacts legal and Black-Market Cigarette Purchasing Under a Hypothetical Reduced-Nicotine Cigarette Standard.

Dolan S, Bradley M, Johnson M Nicotine Tob Res. 2023; 25(9):1556-1564.

PMID: 37195268 PMC: 10439485. DOI: 10.1093/ntr/ntad067.


Anhedonia modulates benzodiazepine and opioid demand among persons in treatment for opioid use disorder.

Greenwald M, Moses T, Lundahl L, Roehrs T Front Psychiatry. 2023; 14:1103739.

PMID: 36741122 PMC: 9892948. DOI: 10.3389/fpsyt.2023.1103739.


References
1.
Few L, Acker J, Murphy C, MacKillop J . Temporal stability of a cigarette purchase task. Nicotine Tob Res. 2011; 14(6):761-5. PMC: 3356292. DOI: 10.1093/ntr/ntr222. View

2.
Hitsman B, MacKillop J, Lingford-Hughes A, Williams T, Ahmad F, Adams S . Effects of acute tyrosine/phenylalanine depletion on the selective processing of smoking-related cues and the relative value of cigarettes in smokers. Psychopharmacology (Berl). 2007; 196(4):611-21. DOI: 10.1007/s00213-007-0995-5. View

3.
Cassidy R, Tidey J, Colby S, Long V, Higgins S . Initial Development of an E-cigarette Purchase Task: A Mixed Methods Study. Tob Regul Sci. 2017; 3(2):139-150. PMC: 5560617. DOI: 10.18001/TRS.3.2.2. View

4.
MacQueen D, Heckman B, Blank M, Van Rensburg K, Evans D, Drobes D . Transient compensatory smoking in response to placebo cigarettes. Psychopharmacology (Berl). 2012; 223(1):47-54. PMC: 3802524. DOI: 10.1007/s00213-012-2685-1. View

5.
Snider S, Cummings K, Bickel W . Behavioral economic substitution between conventional cigarettes and e-cigarettes differs as a function of the frequency of e-cigarette use. Drug Alcohol Depend. 2017; 177:14-22. PMC: 5534369. DOI: 10.1016/j.drugalcdep.2017.03.017. View