Cigarette Purchase Task Research Articles

Validity and reliability of the cigarette purchase task when participant cigarette consumption is unconstrained.

Hypothetical purchase tasks offer effective and efficient methods to assess the reinforcing value of various substances, including cigarettes. The purpose of the present study is to examine the validity and reliability of the Cigarette Purchase Task (CPT) in an experimental arrangement in which participants were receiving free cigarettes. Critical to the validity of the CPT is that those who smoke can accurately estimate how much they would smoke under varying economic constraints. Participants (N = 9) were provided free study cigarettes for 8 weeks. Participants completed the CPT once weekly. To examine the validity of the five CPT demand indices (i.e., demand intensity, Pmax, Omax, breakpoint, and α), we used a simple linear regression stratified by session number to model which of the five CPT demand indices were associated with the number of cigarettes smoked per day during Week 1 of the experiment. Significant associations in the hypothesized direction were noted across the five CPT indices, with the evidence for validity greatest for intensity, followed by Omax, Pmax, breakpoint, and α. To examine CPT test-retest reliability, we estimated interclass correlation coefficients between Sessions 1 and 4 and Sessions 5 and 8. All but one interclass correlation coefficient supported "good" or "excellent" reliability, with the only exception seen with the α index between Sessions 1 and 4, which was moderate reliability. Collectively, these results provide evidence supporting the construct validity and temporal stability/reliability of the CPT demand indices under conditions of limited economic constraint. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Moral injury among women military veterans and demand for cigarettes: A behavioral economic investigation using a hypothetical purchase task

ObjectivesUnlike the United States general population, veteran women – as opposed to veteran men – have greater smoking prevalence; yet, little is known regarding factors that influence smoking in veteran women. The purpose of this study was to begin examining the relationship between a psychological concept known as moral injury and demand for cigarettes among veteran women. MethodsVeteran women who smoke (n = 44) were recruited for this cross-sectional study from Amazon MTurk, Reddit, and a veteran-serving non-profit organization in June–July 2023. Consenting participants received $2 for completing the cigarette purchase task (CPT), Fagerstrom Test for Nicotine Dependence (FTND), and the military version of the Moral Injury Symptom Scale (MISS-M-SF). We examined five CPT demand indices and calculated a modified exponential demand model stratified by moral injury severity status (i.e., probable vs. unlikely). ResultsProbable morally injured women exhibited significantly higher relative reinforcing value (RRV) for smoking than unlikely morally injured women (F1, 920 = 9.16, p = 0.003). Average cigarette consumption at $0 (i.e., Q0) was 48.56% higher (M = 22.24 vs. M = 13.55) in probable compared to unlikely morally injured women (p = 0.04, Hedge's g = 0.74). FTND scores were significantly correlated with Pmax (i.e., demand elasticity point) and Omax (i.e., maximum expenditure) values in both populations (rs = 0.42–0.68, ps < 0.05). ConclusionsWe provide preliminary evidence of the relatively high RRV of smoking in morally injured veteran women. Continued research is needed to refine the characterization of this relationship.

Examining the Predictive Utility of Behavioral Economic Demand Indices and Subjective Effects on the Actualized Reinforcing Value of Menthol Cigarettes and Potential Alternatives.

Considering recent and proposed bans on menthol cigarettes, methods are needed to understand the substitutability of potential menthol cigarette alternatives (MCAs) for menthol cigarettes. This study examined the prospective relationship between behavioral economic demand indices and subjective effects of usual brand menthol cigarettes (UBMC) and preferred MCAs with subsequent performance on a laboratory-based concurrent-choice task comparing UBMC and MCAs. Eighty participants who typically smoked menthol cigarettes completed this clinical laboratory study. After sampling each product, participants completed the cigarette purchase task (CPT) and modified cigarette evaluation questionnaire (mCEQ). Following 1 week of substituting their preferred MCA for their UBMC, participants completed a 90-minute concurrent-choice self-administration (SA) task comparing their UBMC and preferred MCA. Linear regression models explored associations between CPT demand indices and mCEQ subjective effects in the laboratory with subsequent response effort for UBMCs on the concurrent-choice task. Three demand indices for UBMC were positively associated with UBMC response effort: essential value (EV; p = .02), Omax (p = .02), and breakpoint (p = .04). Four CPT demand indices for the preferred MCA significantly corresponded with UBMC response effort: EV (p = .03), price associated with maximal expenditure (Pmax) (p = .04), maximal expenditure (Omax) (p = .03), and breakpoint (p = .03). Subjective effects captured by the mCEQ were not associated with response effort. Demand indices reflecting Persistence (ie, sensitivity to escalating price) predicted effort to obtain UBMC puffs on the concurrent-choice task. Among this sample, the CPT captured information on the relative reinforcing value (ie, addiction potential) of combustible tobacco products similar to the longer SA task. In an ever-changing product market, assessing the reinforcing efficacy of menthol cigarettes and putative substitutes quickly and with validity is an important methodological tool for understanding abuse liability. Results suggest that behavioral economic demand indices of CPT efficiently capture information on the relative reinforcing value of UBMC and plausible alternative tobacco products, similar to a 90-minute in-laboratory SA task.

Presentation matters: Effects of cigarette purchase task design on systematic data and purchasing behavior.

Hypothetical purchase tasks (HPTs) are effective tools for evaluating participants' demand for substances. The present study evaluated the effect of task presentation on producing unsystematic data and purchasing behavior in a sample of individuals who smoke cigarettes. Participants (n = 365) were recruited from Amazon Mechanical Turk and randomly assigned to complete two of three HPT presentations: List (prices on one page in an increasing order), Ascending (one price per page in an increasing order), or Random (one price per page in a random order). We evaluated outcomes using a mixed model regression with a random effect for participants. We observed a significant effect of task presentation on passing the criterion assessing consistency in effects of contiguous prices (i.e., Bounce; X²(2) = 13.31, p = .001). A significant effect of task presentation on Trend or Reversals from Zero was not observed. For purchasing behavior, we observed a significant effect of task presentation on R², X²(2) = 17.89, p < .001; BP₁, X²(2) = 13.64, p = .001; ln(α), X²(2) = 332.94, p < .001; and ln(Omax), X²(2) = 20.26, p < .001; we did not observe a significant effect of task presentation on ln(Q₀) or ln(Pmax). We recommend against using the Random HPT presentation to avoid unsystematic data. While the List and Ascending presentations do not differ across unsystematic criteria or purchasing behavior, the List presentation may be preferred due to participant experience. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The electronic nicotine delivery system (ENDS) purchase task: Are results sensitive to price framing?

Extension of the cigarette purchase task (CPT) to electronic nicotine delivery systems (ENDS) is complicated by the heterogeneous nature of this product class, as ambiguity exists regarding the appropriate price-frame (i.e., unit of the product being purchased). We explored correlations between ENDS purchase task (E-CPTs) outcomes featuring two common price-frames: 10 puffs and 1 mL of liquid. Adult exclusive ENDS users (N = 19) and dual users of ENDS and cigarettes (N = 16) completed two own-brand E-CPTs. One E-CPT used "10 puffs" as its price-frame; the other used "1 mL of liquid." Five outcomes were generated for each E-CPT: breakpoint, intensity, Omax, Pmax, and α. Exploratory Factor Analyses (EFA) considered how these outcomes captured latent structures of demand for ENDS. Spearman correlations in E-CPT outcomes assessed within-person variation between price-frames. Analyses also considered whether correlations differed by user group. E-CPT outcomes were highly correlated across price-frames (ρs > 0.57, ps < .001), and EFA revealed little difference in how outcomes from the tasks loaded onto two latent structures of demand ("Persistence" and "Amplitude") reported in the previous literature. The magnitude of correlations for E-CPT outcomes tended to be higher for exclusive ENDS users than for dual users. Participant responses to purchase task outcomes were similar across two E-CPT price-frames. Using "10 puffs" as a price-frame may be a generalizable approach among heterogenous groups of ENDS users, but researchers should consider their target population and structure the E-CPT to reflect participants' knowledge and purchasing behaviors. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Examining the latent factor structure of a hypothetical cigarette purchase task among pregnant women.

The cigarette purchase task (CPT) is a valid behavioral-economic measure of demand that has smokers estimate hypothetical cigarette consumption under a range of escalating prices. The task involves no experimenter exposure of participants to smoking. CPT demand is measured in terms of five indices: intensity (cigarettes consumed at $0), Omax (largest expenditure), Pmax (price associated with peak expenditure), breakpoint (the first price at which consumption is 0), and elasticity (rate at which consumption changes as a function of increasing price). Out of concern for collinearity, prior studies investigated a more parsimonious CPT latent-factor structure for these derived indices consisting of two factors. The present study examined whether the same two latent-factor solutions extend to pregnant women who smoke. Six hundred sixty-five women completed the CPT as part of recruitment for a clinical trial examining the efficacy of a remote contingency-management intervention to promote smoking cessation during pregnancy. Factor analysis confirmed a two-factor solution to the CPT accounting for 87% of the variance in the five indices with demand intensity and Omax loading onto amplitude and Omax, Pmax, breakpoint, and elasticity loading onto persistence. Backward elimination regression revealed a significant negative relationship between amplitude and persistence (i.e., lower amplitude and persistence scores predicted a higher likelihood of making at least one quit attempt upon learning of pregnancy). These results further support the utility of the CPT for experimentally examining individual differences in smoking among pregnant women in an efficient and ethical manner that does not involve exposing them to cigarette smoke. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Impact of reduced nicotine content on behavioral economic measures of cigarette reinforcement in adolescents who smoke cigarettes

BackgroundPublic health officials in the U.S. and New Zealand are considering a reduced nicotine standard for cigarettes to reduce their addictive potential. This study’s aim was to evaluate the effects of nicotine reduction on the reinforcing efficacy of cigarettes in adolescents who smoke, which has implications for this policy’s potential for success. MethodsAdolescents who smoked cigarettes daily (n = 66; mean age: 18.6) participated in a randomized clinical trial assessing effects of assignment to very low nicotine content (VLNC; 0.4 mg/g nicotine) or normal nicotine content (NNC; 15.8 mg/g nicotine) cigarettes. Hypothetical cigarette purchase tasks were completed at baseline and the end of Week 3 and demand curves fit to the data. Linear regressions estimated effects of nicotine content on demand for study cigarettes at baseline and Week 3 and associations between baseline demand for cigarette consumption at Week 3. ResultsAn extra sum of squares F-test of fitted demand curves indicated that demand (α) was more elastic among VLNC participants at baseline and Week 3 (F(2, 1016)= 35.72, p < 0.001). Adjusted linear regressions indicated demand was more elastic (ß= 1.45, p < 0.01) and maximum expenditure (Omax) lower (ß= −1.42, p-0.03) among VLNC participants at Week 3. More elastic demand for study cigarettes at baseline predicted lower consumption of cigarettes at Week 3 (p’s < 0.01). ConclusionsA nicotine reduction policy may reduce the reinforcing value of combustible cigarettes among adolescents. Future work should investigate likely responses to such a policy among youth with other vulnerabilities and evaluate the potential for substitution to other nicotine containing products.

Supplemental Material for Presentation Matters: Effects of Cigarette Purchase Task Design on Systematic Data and Purchasing Behavior

Supplemental Material for Presentation Matters: Effects of Cigarette Purchase Task Design on Systematic Data and Purchasing Behavior

Hyperbolic discounting and exponentiated demand: Modeling demand for cigarettes in three dimensions.

Behavioral economics has been a fruitful area of research in substance use. Mathematical descriptions of how individuals temporally discount the value of a commodity have been correlated with substance use and mathematical descriptions of drug consumption decreasing as a function of price (i.e., demand) predict maladaptive substance use. While there is a logical assumption that temporal factors affect demand for a drug, little has been done to merge these models. Thus, the purpose of this study was to combine models of discounting and demand, extending Howard Rachlin's work and contributions to novel areas of study. Data from 85 participants from Amazon Mechanical Turk (MTurk) who completed a hypothetical cigarette purchase task that included price of and delay to cigarettes were analyzed. Multilevel modeling was used to determine descriptive accuracy of combined additive and multiplicative models of discounting and demand. Of the discounting models used in conjunction with the exponentiated demand equation, the Rachlin hyperboloid best described the delay dimension of consumption. The multiplicative version of the Rachlin equation applied to both delay and price outperformed other models tested. Therefore, existing models of discounting and demand can be extended to modeling consumption data from complex multidimensional experimental arrangements.

Relating individual differences in the reinforcing value of smoking and dependence severity to nicotine exposure levels in vulnerable populations

Cigarette smoking is overrepresented in populations with psychiatric conditions and socioeconomic disadvantage. Greater understanding of the role of reinforcement and nicotine dependence in smoking among vulnerable populations may facilitate development of better targeted interventions to reduce smoking. Prior research demonstrated that individual differences in the reinforcing value of smoking and nicotine-dependence severity predicted total nicotine-exposure in vulnerable populations. The present study uses multivariate regression to address two aims: (1) Quantify the degree to which the reinforcing value of smoking, assessed using the Cigarette Purchase Task (CPT), and dependence severity assessed using the Fagerström Test of Nicotine Dependence and Brief Wisconsin Inventory of Smoking Dependence Motives (B-WISDM) each account for individual differences in cotinine-plus-3′-hydroxycotinine (COT+3HC) levels. (2) Explore whether there is overlap in the variance accounted for by the CTP, FTND, and B-WISDM. Participants were 628 adults with co-morbid psychiatric conditions or socioeconomic disadvantage who smoked daily. The CPT, FTND, and B-WISDM models accounted for 23.76%, 32.45%, and 29.61% of the variance in COT+3HC levels, respectively. Adding CPT to the FTND model failed to increase the variance accounted for and adding it to the B-WISDM model did so by only 1.2% demonstrating considerable overlap in the variance in nicotine exposure levels accounted for by these three instruments. These results provide new knowledge on the relationship between individual differences in the reinforcing value of smoking and nicotine-exposure levels and suggest differences in reinforcing value may underpin a considerable portion of the variance in nicotine exposure accounted for by dependence severity.

Leveraging the cigarette purchase task to understand relationships between cumulative vulnerabilities, the relative reinforcing effects of smoking, and response to reduced nicotine content cigarettes

We examined if the relative-reinforcing effects of smoking increase with greater cumulative vulnerability and whether cumulative vulnerability moderates response to reduced nicotine content cigarettes. Participants were 775 adults from randomized clinical trials evaluating research cigarettes differing in nicotine content (0.4, 2.4, 15.8 mg/g). Participants were categorized as having low (0–1), moderate (2–3), or high (≥4) cumulative vulnerability. Vulnerabilities included rural residence, opioid use disorder, affective disorder, low educational attainment, poverty, unemployment, and physical disability. We used the cigarette purchase task (CPT) to assess the relative-reinforcing effects of participants' usual-brand cigarettes at baseline and study cigarettes during the 12-week trial. The CPT is a behavioral-economic task wherein participants estimate likely smoking (demand) over 24 h under escalating cigarette price. Demand is characterized by two factors: Amplitude (demand volume at zero/minimal price) and Persistence (demand sensitivity to price). Greater cumulative vulnerability was associated with greater demand Amplitude (F[2709] = 16.04,p < .0001) and Persistence (F[2709] = 8.35,p = .0003) for usual-brand cigarettes. Demand Amplitude for study cigarettes increased with increasing cumulative vulnerability (F[2619] = 19.59, p < .001) and decreased with decreasing nicotine content ([4879] = 5.45, p < .001). The only evidence of moderation was on demand Persistence (F[8867] = 2.00,p = .04), with larger reductions at the 0.4 mg/g compared to 15.8 mg/g doses among participants with low compared to moderate or high cumulative vulnerability. The relative-reinforcing effects of smoking clearly increase with greater cumulative vulnerability. Reducing nicotine content would likely reduce demand Amplitude across cumulative-vulnerability levels but reductions in demand Persistence may be more limited among those with greater cumulative vulnerability.

Understanding data quality: Instructional comprehension as a practical metric in crowdsourced investigations of behavioral economic cigarette demand.

Crowdsourcing platforms allow researchers to quickly recruit and collect behavioral economic measures in substance-using populations, such as cigarette smokers. Despite the broad utility and flexibility, data quality issues have been an object of concern. In two separate studies recruiting cigarette smokers, we sought to investigate the association between a practical quality control measure (accuracy on an instruction quiz), on internal consistency of number of cigarettes smoked per day and purchasing patterns of tobacco products in an experimental tobacco marketplace (ETM; Study 1), and in a cigarette purchase task (CPT; Study 2). Participants (N = 312 in Study 1; N = 119 in Study 2) were recruited from Amazon mechanical turk. Both studies included task instructions, a quiz, a purchase task, cigarette usage and dependence questions, and demographics. The results show that participants who answered all instruction items correctly: (a) reported the number of cigarettes per day more consistently (partial η² = 0.11, p < .001, Study 1; partial η² = 0.09, p = .016, Study 2), (b) demonstrated increased model fit among the cigarette demand curves (partial η² = 0.23, p < .001, Study 1; partial η² = 0.08, p = .002, Study 2), and purchased tobacco products in the ETM more consistently with their current usage. We conclude that instruction quizzes before purchase tasks may be useful for researchers evaluating demand data. Instruction quizzes with multiple items may allow researchers to choose the level of data quality appropriate for their studies. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Reinforcer pathology predicts relapse in smokers.

The purpose of this secondary analysis is to analyze whether both of the processes of the reinforcer pathology model (delay discounting and demand) are predictors of relapse up to 12-month follow-up in a sample of abstinent smokers who received a smoking cessation treatment. Participants were 202 abstinent smokers who completed the delay discounting task and the cigarette purchase task. In order to analyze the smoking relapse predictors and the impact of time to relapse, Kaplan-Meier curves, log-rank test, and Cox regression analysis were carried out. Fewer years of regular smoking (HR = .79, p = .014), as well as higher delay discounting (HR AUClogd = .80, p = .019) and intensity of demand (HR = 1.26, p = .019) were associated with a higher likelihood of smoking relapse. These variables were associated with a faster relapse. High delay discounting and intensity of demand were associated with a higher risk of relapse after quitting smoking. These findings highlight the importance of adapting treatment strategies for these two variables (delay discounting and cigarette demand), which might confer protective risk against smoking relapse. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Supplemental Material for Examining the Latent Factor Structure of a Hypothetical Cigarette Purchase Task Among Pregnant Women

Supplemental Material for Examining the Latent Factor Structure of a Hypothetical Cigarette Purchase Task Among Pregnant Women

A Bayesian hierarchical model for individual participant data meta-analysis of demand curves.

Individual participant data meta-analysis is a frequently used method to combine and contrast data from multiple independent studies. Bayesian hierarchical models are increasingly used to appropriately take into account potential heterogeneity between studies. In this paper, we propose a Bayesian hierarchical model for individual participant data generated from the Cigarette Purchase Task (CPT). Data from the CPT details how demand for cigarettes varies as a function of price, which is usually described as an exponential demand curve. As opposed to the conventional random-effects meta-analysis methods, Bayesian hierarchical models are able to estimate both the study-specific and population-level parameters simultaneously without relying on the normality assumptions. We applied the proposed model to a meta-analysis with baseline CPT data from six studies and compared the results from the proposed model and a two-step conventional random-effects meta-analysis approach. We conducted extensive simulation studies to investigate the performance of the proposed approach and discussed the benefits of using the Bayesian hierarchical model for individual participant data meta-analysis of demand curves.

Effects of episodic future thinking on reinforcement pathology during smoking cessation treatment among individuals with substance use disorders

RationaleReinforcer pathology (RP) is a theoretical model based on two processes: delay discounting (DD) and drug demand. Given that RP has been shown to have a predictive value on smoking behaviors, several studies have explored which interventions can reduce RP. Consistent with the RP framework, episodic future thinking (EFT) has shown effects on treatment outcomes and RP processes. The vast majority of studies that assess the effects of EFT on RP consist of experimental studies, and no previous research has tested these effects in a clinical sample of smokers.ObjectivesThe primary aim of this study was to assess the effects of EFT on RP throughout the course of a smoking cessation intervention in smokers with substance use disorders (SUDs).MethodsParticipants were randomized to cognitive behavior therapy (CBT) + EFT (n = 39) or CBT + EFT + contingency management (n = 33). Cotinine, frequency of EFT practices, cigarette purchase task (CPT), and DD were evaluated in treatment sessions. Mixed-effects model repeated measures analysis was used to explore DD and CPT in-treatment changes as a function of EFT practices and cotinine levels.ResultsGreater practice of the EFT component significantly reduced cigarette demand (p < .020) as well as DD (p = .003). Additionally, a greater reduction in cotinine levels coupled with greater EFT practice led to a greater decrease in cigarette demand (p < .014).ConclusionsEFT reduced the two facets of RP in treatment-seeking smokers with SUDs.

Both reducing cigarettes per day and transitioning to very low-nicotine-content cigarettes decreases demand for usual-brand cigarettes.

Reducing cigarettes per day (CPD) and transitioning to very low-nicotine-content (VLNC) cigarettes appear to decrease nicotine dependence. Other well-accepted measures of the addictiveness of cigarettes involve behavioral economic simulation models, such as the cigarette purchase task (CPT), which characterizes the reinforcing efficacy of cigarettes. Currently it is unclear whether reducing CPD or reducing nicotine through VLNC cigarettes leads to greater reductions in the reinforcing efficacy of cigarettes. The current paper reports a secondary analysis of a 5-week, 2-arm unblinded randomized trial, in which participants were instructed to gradually reduce to 70%, 35%, 15%, and 3% of baseline nicotine over 4 weeks by either (a) reducing CPD (n = 32) or (b) switching to VLNC cigarettes (n = 36). Participants completed the CPT for their usual-brand cigarettes at baseline and again at a 1-month follow-up. Demand was significantly reduced for participants' usual-brand cigarettes in both the CPD, t(18) = 7.65, p < .0001, and the VLNC groups, t(18) = 7.39, p < .0001, from prereduction procedure to the 1-month follow-up. Maximum consumption at zero price (intensity), and maximum expenditure (Omax), were reduced significantly for both the CPD group, t(16) = 3.23, p = .005; t(16) = 3.71, p = .002, respectively, and the VLNC group, t(22) = 3.62, p = .002; t(22) = 3.14, p = .005, respectively, prereduction procedure to the 1-month follow-up. Thus, despite the different mechanisms by which the value of cigarettes was manipulated, both interventions reduced the reinforcing efficacy of cigarettes. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Behavioral economic cigarette demand among individuals who smoke with and without obesity.

Obesity and cigarette smoking are leading preventable causes of mortality, with greater mortality risk when these disorders occur together. Comorbid obesity and cigarette smoking may affect the valuation of cigarettes. The present study examines the demand for cigarettes between obese and nonobese smokers. Participants (N = 187) from four in-laboratory studies completed the hypothetical cigarette purchase task. According to self-reported height and weight, participants were assigned to either the obese group (body mass index [BMI] ≥ 30) or to the nonobese group (BMI < 30). Significant differences in demand intensity were observed between individuals with and without obesity, F(1, 168) = 9.284, p = .003, with individuals who smoke and are obese showing higher demand intensity (product purchasing when free). These differences in demand intensity between groups remained after adjusting for the number of cigarettes consumed per day. No differences were observed in elasticity of demand, F(1, 168) = 1.033, p = .311. The results reported here suggest that individuals who smoke and are obese may value brief, intense, and immediate reinforcers more than individuals who smoke and are not obese. Further research may suggest reinforcer pathology as a basis for this result. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

INCREASED VALUE OF SUBSTANCES OR DECREASING ALTERNATIVES? BEHAVIORAL ECONOMICS IN THE TIME OF COVID-19

COVID-19 offers a chance to test the Reinforcer Pathology (RP) model through the effects of social constraints on the motivation to use drugs. Aims. This study aimed to empirically assess the RP model in the context of a cross-sectional online survey in Spain. Method. During the strictest period of confinement (14th March-12th April 2020), 203 participants provided measures on past 30-day use of legal and illegal substances and responded to hypothetical alcohol and cigarette purchase tasks. Univariate and bivariate analyses were conducted to inform on pre- and intra-pandemic substance use patterns. Breakpoint (i.e., price at which consumption ceases), elasticity (i.e., sensitivity of demand to rises in costs) and intensity (i.e., unrestricted consumption) were used as indicators of substance use demand. Results. Past 30-day alcohol use decreased from 71.4% (145/203) to 50.7% (103/203), tobacco from 14.3% (30/203) to 12.8% (26/203), and cannabis from 8.9% (18/203) to 4.4% (9/203). Predictably, illegal substance use went from 1% (2/203) to 0%. Conclusions. Despite reductions in substance use, alcohol and tobacco reinforcement, as measured by intensity and breakpoint, slightly increased within the first month of confinement. Potentially beneficial nudges and intervention strategies are discussed from the preventive and treatment standpoint.

No evidence of the clinical utility of single-item breakpoint to inform on tobacco demand in persons with substance use disorders.

Behavioral economics has shown that single-item demand indicators are promising for capturing crucial aspects of nicotine reinforcement. It is suggested that brief breakpoint measures perform comparably to full-length demand indices in characterizing nicotine dependence; however, there have been no thorough assessments of their validity in clinical settings. This study aimed to assess the validity and accuracy of a single-item breakpoint in informing on tobacco demand. The sample consisted of 88 treatment-seeking smokers (% males = 70.5%) enrolled in substance use treatment. Participants provided data on smoking characteristics and completed the Fagerström Test for Nicotine Dependence, a single-item breakpoint measure and a 14-item cigarette purchase task (CPT). Hierarchical regressions were performed to compare the predictive capability of a single-item breakpoint and full-length tobacco demand indicators in determining nicotine addiction severity. The single-item breakpoint was significantly correlated with all indices stemmed from the CPT and both latent factors (all r values = .250-.368). Neither the brief breakpoint nor the full-length breakpoint significantly predicted nicotine dependence. After controlling for sex and smoking variables, factor 2 [β = .565, p < .001] and its observed variables Omax [β = .279, p = .006], 1/elasticity [β = .340, p = .001], and intensity [β = .551, p < .001], robustly predicted nicotine dependence severity. Our findings do not support the validity of single-item breakpoint measures for characterizing nicotine dependence in substance users. In a bid to foster translational research, brief demand measures capturing Omax, intensity, and elasticity should be developed.