Is impulsivity related to attentional bias in cigarette smokers? An exploration across levels of nicotine dependency and deprivation.

Research has largely focused on how attentional bias to smoking-related cues and impulsivity independently influence the development and maintenance of cigarette smoking, with limited exploration of the relationship between these mechanisms. The current experiments systematically assessed relationships between multiple dimensions of impulsivity and attentional bias, at different stages of attention, in smokers varying in nicotine dependency and deprivation. Nonsmokers (NS; n  = 26), light-satiated smokers (LS; n  = 25), heavy-satiated smokers (HS; n  = 23) and heavy 12-hour nicotine-deprived smokers (HD; n  = 30) completed the Barratt Impulsivity Scale, delayed discounting task, stop-signal task, information sampling task and a visual dot-probe assessing initial orientation (200 ms) and sustained attention (2000 ms) toward smoking-related cues. Sustained attention to smoking-related cues was present in both HS and LS, while initial orientation bias was only evident in HS. HS and LS also had greater levels of trait motor and nonplanning impulsivity and heightened impulsive choice on the delay discounting task compared with NS, while heightened trait attentional impulsivity was only found in HS. In contrast, in HD, nicotine withdrawal was associated with no attentional bias but heightened reflection impulsivity, poorer inhibitory control and significantly lower levels of impulsive choice relative to satiated smokers. Trait and behavioral impulsivity were not related to the extent of attentional bias to smoking-related cues at any stage of attention, level of nicotine dependency or state of deprivation. Findings have both clinical and theoretical implications, highlighting the unique and independent roles impulsivity and attentional bias may play at different stages of the nicotine addiction cycle.

The Phenotype of Recovery X: Associations between delay discounting, regulatory flexibility, and remission from substance use disorder.

INTRODUCTION: Delay discounting (DD) and self-regulation are important predictors of substance use disorder (SUD) outcomes. Further, regulatory flexibility (RF; i.e., selecting, monitoring, and adapting coping techniques based on contextual demands) is related to psychological resilience. However, studies have yet to examine associations among DD, RF, and remission from SUDs among individuals in recovery. METHODS: Individuals (N = 148) in SUD recovery completed the Context Sensitivity Index (CSI), the Flexible Regulation of Emotional Expression (FREE) Scale, and the Perceived Ability to Cope with Trauma (PACT) Scale to assess RF and, an $1000 hypothetical reward Adjusting Amount Delay Discounting Task. The study considered individuals to be in remission from SUD if they did not endorse any SUD DSM-5 symptom other than craving (except tobacco use disorder) in the past three months. The study team used t-tests to examine differences in RF and DD by remission status. Univariate linear regressions were used to examine the relationship between RF and DD. Finally, mediation models examined the dynamic relationship among DD, RF, and remission status. RESULTS: Remitted individuals (n = 82) had significantly lower DD (i.e., greater preference for larger, later rewards) rates (p < .001) and higher context sensitivity (p < .001) and coping flexibility (p < .001). The study found significant negative associations between DD and context sensitivity (p = .008), coping flexibility (p = .002), and emotion regulation flexibility (p < .001). Finally, context sensitivity (p = .023) and coping flexibility (p = .009) mediated the relationship between DD and SUD remission. CONCLUSIONS: Results suggest that individuals in recovery with broader temporal windows can better identify contextual demands and flexibly cope, contributing to improved SUD recovery outcomes.

Reliability and validity of behavioral-economic measures: A review and synthesis of discounting and demand.

This review sought to synthesize the literature on the reliability and validity of behavioral-economic measures of demand and discounting in human research, introduce behavioral-economic research methodologies for studying addictive behaviors, discuss gaps in the current literature, and review areas for future research. A total of 34 studies was included in this review. The discounting literature showed similar responding regardless of whether hypothetical or actual outcomes were used, though people tended to discount the outcome presented first more steeply, suggesting order effects. Although delay-discounting measures seem to show temporal stability, exceptions were found for probability- and experiential-discounting tasks. The demand literature also demonstrated similar responding regardless of outcome type; however, some demand indices showed exceptions. Randomized price sequences tended to show modest increases in Omax and α and modestly higher rates of inconsistent or nonsystematic responses compared with sequential price sequences. Demand indices generally showed temporal stability, although the stability was weaker the larger the time interval between test sessions. Future studies would benefit by examining addictive commodities beyond alcohol, nicotine, and money; examining temporal stability over longer time intervals; using larger delays in discounting tasks; and using larger sample sizes.

Neural correlates of decreased impulsivity during delay discounting task after laparoscopic sleeve gastrectomy.

OBJECTIVE: The goal of this study was to investigate laparoscopic sleeve gastrectomy (LSG)-induced changes in choice impulsivity and the neural correlates in individuals with obesity (OB). METHODS: The study employed functional magnetic resonance imaging with a delay discounting task in 29 OB tested before and 1 month after LSG. Thirty participants with normal weight matched to OB with gender and age were recruited as the control group and underwent an identical functional magnetic resonance imaging scan. Alterations in activation and functional connectivity between pre- and post-LSG were investigated and compared with participants with normal weight. RESULTS: OB exhibited significantly reduced discounting rate after LSG. During the delay discounting task, hyperactivation in dorsolateral prefrontal cortex, right caudate, and dorsomedial prefrontal cortex decreased in OB after LSG. LSG additionally engaged compensatory effects through increased activation in bilateral posterior insula and functional connectivity between caudate and dorsomedial prefrontal cortex. Those changes were associated with decreased discounting rate and BMI as well as improved eating behaviors. CONCLUSIONS: These findings indicate that decreased choice impulsivity following LSG was associated with the changes in regions involved in executive control, reward evaluation, interoception, and prospection. This study may provide neurophysiological support for the development of nonoperative treatments such as brain stimulation for individuals with obesity and overweight.

The relationship between nonsystematic delay discounting and low-quality survey responses in a sample of smokers: ROC curve analysis.

Delay discounting (DD), the decrease of the subjective value of a reward as the delay to its receipt increases, is a crucial aspect of decision-making processes. As evidence continues to mount, additional attention needs to be given to nonsystematic DD, a response pattern that has been reported in the literature but rarely investigated. We noticed in our recent online research an increase in the proportion of nonsystematic DD responses across samples, consistent with the so-called Amazon Mechanical Turk (MTurk) data quality crisis. The significant proportion of nonsystematic responses created an opportunity to investigate its association with data quality in the present study. In a sample of smokers recruited from MTurk (n = 210), three independent quality check indexes evaluated participants' response quality. The degree of nonsystematic DD was quantified by the algorithms developed by Johnson and Bickel (2008). The area under the receiver operating characteristic curve (AUC) predicting response quality by nonsystematic DD was obtained. The observed AUC values were at the extreme of the null distributions (ps < .001) in a permutation test. Furthermore, the nonsystematic DD cutoffs provided in Johnson and Bickel (2008) showed good sensitivity (0.77-0.93), albeit low-moderate specificity (0.42-0.74), in detecting low-quality responses. The findings showed that nonsystematic DD was associated with low-quality responses, although other factors contributing to the nonsystematic responses remain to be identified. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Maladaptive changes in delay discounting in males during the COVID-19 pandemic: the predictive role of functional connectome.

The Coronavirus disease of 2019 (COVID-19) and measures to curb it created population-level changes in male-dominant impulsive and risky behaviors such as violent crimes and gambling. One possible explanation for this is that the pandemic has been stressful, and males, more so than females, tend to respond to stress by altering their focus on immediate versus delayed rewards, as reflected in their delay discounting rates. Delay discounting rates from healthy undergraduate students were collected twice during the pandemic. Discounting rates of males (n=190) but not of females (n=493) increased during the pandemic. Using machine learning, we show that prepandemic functional connectome predict increased discounting rates in males (n=88). Moreover, considering that delay discounting is associated with multiple psychiatric disorders, we found the same neural pattern that predicted increased discounting rates in this study, in secondary datasets of patients with major depression and schizophrenia. The findings point to sex-based differences in maladaptive delay discounting under real-world stress events, and to connectome-based neuromarkers of such effects. They can explain why there was a population-level increase in several impulsive and risky behaviors during the pandemic and point to intriguing questions about the shared underlying mechanisms of stress responses, psychiatric disorders and delay discounting.

Reduced sensitivity to delayed time and delayed reward of the post-operative insular glioma patients in delay discounting.

Previous studies have shown that the insula is closely related to addiction, and the structure's role in delay discounting can be measured by a specific task, but the specific role of the insula has been less studied. In this study, we first conducted a lesion study in which we recruited healthy controls (n = 30) and patients with unilateral insula injury (n = 16) to complete a behavioral delay discounting task. Then we conducted a functional magnetic resonance imaging (fMRI) study, and a separate group healthy volunteers (n = 51) completed a delay discounting task during the fMRI scan. The lesion study showed a significant difference between the two groups in the delay discounting task, which revealed that insula injury was associated with impaired decision making. The fMRI study revealed choice-sensitive insula activation that was modulated by delayed time and delayed reward, indicating an important role of the insula in delay discounting. Overall, our results provide evidence for a role of the insular lobe in delay discounting and suggests that this structure may be considered an important factor in the future treatment and diagnosis of addiction disorders.

Daily, but not occasional, cannabis use is selectively associated with more impulsive delay discounting and hyperactive ADHD symptoms in binge-drinking young adults.

RATIONALE: There is increasing interest in and evidence for the negative impacts of cannabis use in cognitive performance and symptoms of attention-deficit/hyperactivity disorder (ADHD), with age of first cannabis use as a potential amplifier of these associations. However, the existing literature is inconsistent, which may be due to methodological limitations, including small sample sizes. OBJECTIVE: To examine current cannabis use and age of first cannabis use in relation to neurocognitive task performance and ADHD symptoms in a large sample of binge-drinking young adults. METHODS: Participants were young adults (N=730, M age=21.44, 52.6% female) assessed for current cannabis use, neurocognitive task performance, and ADHD symptoms. Three-group ANCOVAs compared individuals reporting frequent (daily/multiple times daily), occasional (weekly/monthly), or no cannabis use. RESULTS: Covarying alcohol use, tobacco use, age, sex, income, and education, daily cannabis users exhibited significantly more impulsive delay discounting and hyperactive-impulsive ADHD symptoms compared to both other groups. However, cannabis use was not associated with inattentive ADHD symptoms, verbal intelligence, working memory, probability discounting, short-term verbal memory, or behavioral inhibition. Age of initiation of cannabis use exhibited neither main effects nor interactions in relation to any domains of cognitive performance or ADHD symptomatology. CONCLUSIONS: The current findings provide support for a link between cannabis use in relation to immediate reward preference and symptoms of hyperactive-impulsive ADHD in young adults, but only among frequent users. No other neurocognitive domains exhibited associations with cannabis and age of first use was neither independently nor interactively associated with cognitive outcomes.

Delay discounting rate by a surrogate decision maker depends on the smoking status of the recipient.

The tendency to devalue future rewards is known as delay discounting. Discounting is measured using a series of intertemporal choices between smaller, sooner outcomes and larger, later outcomes. We used a surrogate delay discounting task to explore whether such choices would differ if a hypothetical recipient was a smoker or was an individual with good health habits. Across three studies, the descriptions of the recipient included only information about smoking status (n = 66), smoking status and equal annual income (n = 47), and smoking status and equal weekly expenditures (n = 42). Higher rates of delay discounting for the smoker recipient compared to the nonsmoker recipient were observed across all three studies. These results parallel previous findings showing group differences in discounting between actual smokers and nonsmokers. We discuss the similarities between the present results and previous studies in light of an extension of Bem's (1967) self-perception theory, which posits that choices in laboratory-based delay discounting tasks are informed by observation of real-world intertemporal choice. The theory asserts that there is no fundamental difference between a first-person account of such knowledge and a third-person account. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Effects of vapourized THC and voluntary alcohol drinking during adolescence on cognition, reward, and anxiety-like behaviours in rats.

Cannabis and alcohol co-use is prevalent in adolescence, but the long-term behavioural effects of this co-use remain largely unexplored. The aim of this study is to investigate the effects of adolescent alcohol and Δ9-tetrahydracannabinol (THC) vapour co-exposure on cognitive- and reward-related behaviours. Male Sprague-Dawley rats received vapourized THC (10 mg vapourized THC/four adolescent rats) or vehicle every other day (from post-natal day (PND) 28-42) and had continuous voluntary access to ethanol (10% volume/volume) in adolescence. Alcohol intake was measured during the exposure period to assess the acute effects of THC on alcohol consumption. In adulthood (PND 56+), rats underwent behavioural testing. Adolescent rats showed higher alcohol preference, assessed using the two-bottle choice test, on days on which they were not exposed to THC vapour. In adulthood, rats that drank alcohol as adolescents exhibited short-term memory deficits and showed decreased alcohol preference; on the other hand, rats exposed to THC vapour showed learning impairments in the delay-discounting task. Vapourized THC, alcohol or their combination had no effect on anxiety-like behaviours in adulthood. Our results show that although adolescent THC exposure acutely affects alcohol drinking, adolescent alcohol and cannabis co-use may not produce long-term additive effects.

Setting a goal could help you control: Comparing the effect of health goal versus general episodic future thinking on health behaviors among cigarette smokers and obese individuals.

Episodic Future Thinking (EFT) reduces delay discounting (DD; preference for smaller, immediate rewards) and various maladaptive behaviors. Exploring potential personalization of EFT to optimize its ability to alter DD and demand for unhealthy reinforcers is important for the development of interventions targeting long-term improvement and maintenance of health. In this investigation, using 2 separate studies, we examined the effects of EFT with and without a health goal on rates of discounting, demand, and craving for cigarettes and fast food among cigarette smokers and obese individuals, respectively. Using data collected from Amazon Mechanical Turk (mTurk), Study 1 (N = 189) examined the effect of EFT on DD and measures of cigarette demand and craving in cigarette smokers who were randomly assigned to 1 of 3 conditions: EFT-health goal, EFT-general, or Episodic Recent Thinking (ERT)-general. Study 2 (N = 255), using a 2x2 factorial design, examined the effects of health goals and general EFT on DD and measures of fast food demand and craving in obese individuals who were randomly assigned to 1 of 4 conditions: EFT-health goal, EFT-general, ERT-health goal or ERT-general. Health goal EFT was not more effective than general EFT in reducing monetary discounting. However, the addition of a health goal to general EFT was significantly associated with higher effect on intensity and elasticity of demand for cigarettes and fast food compared to EFT without a health goal. These findings suggest that the amplification of future thinking through the inclusion of a health goal may promote healthy decisions and result in positive behavior changes. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Risk-based decision making in rats: Modulation by sex and amphetamine.

Decision-making is a complex process essential to daily adaptation in many species. Risk is an inherent aspect of decision-making and it is influenced by gonadal hormones. Testosterone and 17ß-estradiol may modulate decision making and impact the mesocorticolimbic dopamine pathway. Here, we explored sex differences, the effect of gonadal hormones and the dopamine agonist amphetamine on risk-based decision making. Intact or gonadectomised (GDX) male and female rats underwent to a probabilistic discounting task. High and low doses of testosterone propionate (1.0 or 0.2 mg) and 17ß-estradiol benzoate (0.3 µg) were administered to assess acute effects on risk-based decision making. After 3-days of washout period, intact and GDX rats received high or low (0.5 or 0.125 mg/kg) doses of amphetamine and re-tested in the probabilistic discounting task. Under baseline conditions, males made more risky choices during probability discounting compared to female rats, particularly in the lower probability blocks, but GDX did not influence risky choice. The high, but not the low dose, of testosterone modestly reduced risky decision making in GDX male rats. Conversely, 17ß-estradiol had no significant effect on risky choice regardless of GDX status in either sex. Lastly, a higher dose of amphetamine increased risky decision making in both intact males and females, but had no effect in GDX rats. These findings demonstrated sex differences in risk-based decision making, with males showing a stronger bias toward larger, uncertain rewards. GDX status influenced the effects of amphetamine, suggesting different dopaminergic regulation in risk-based choices among males and females.

Long-term changes in delay discounting following a smoking cessation treatment for patients with depression.

BACKGROUND: Delay discounting (DD) has been identified as a trans-disorder process underlying addictive behaviors, including smoking. Previous studies have evaluated how different treatments for drug dependence have affected DD, showing mixed results. Furthermore, no study has examined the effects of changes in depression on DD rates. The aim of this study was to evaluate the impact of treatment type: cognitive behavioral treatment (CBT), CBT + behavioral activation (BA), or CBT + BA + contingency management (CM), and changes in smoking status and depression on DD rates in long-term follow-up among a sample of treatment-seeking smokers with depression. METHODS: Participants were 180 treatment-seeking smokers with depression who were randomly assigned to one of the following treatment conditions: CBT (n = 60), CBT + BA (n = 60), and CBT + BA + CM (n = 60). Depressive symptomatology and major depression diagnosis were evaluated through the BDI-II and the SCID-I of the DSM-IV-TR. DD rates were assessed using the DD task with hypothetical monetary rewards. Smoking status, DD, and depressive symptomatology were collected at baseline, at end-of-treatment and at one-, two-, three-, and six-month follow-ups. RESULTS: CM for smoking cessation reduces DD rates (p = .0094). Smoking abstinence (p = .0024) and reduction in depressive symptoms (p = .0437) were associated with decreases in DD rates in long-term follow-up. CONCLUSIONS: CM interventions for smoking cessation, smoking abstinence, and the improvement of depression contribute to reductions in DD over time.

Striatal hypofunction as a neural correlate of mood alterations in chronic pain patients.

BACKGROUND: Chronic pain and mood disorders share common neuroanatomical substrates involving disruption of the reward system. Although increase in negative affect (NA) and decrease in positive affect (PA) are well-known factors complicating the clinical presentation of chronic pain patients, our understanding of the mechanisms underlying the interaction between pain and PA/NA remains limited. Here, we used a validated task probing behavioral and neural responses to monetary rewards and losses in conjunction with functional magnetic resonance imaging (fMRI) to test the hypothesis that dysfunction of the striatum, a key mesolimbic structure involved in the encoding of motivational salience, relates to mood alterations comorbid with chronic pain. METHODS: Twenty-eight chronic musculoskeletal pain patients (chronic low back pain, n=15; fibromyalgia, n=13) and 18 healthy controls underwent fMRI while performing the Monetary Incentive Delay (MID) task. Behavioral and neural responses were compared across groups and correlated against measures of depression (Beck Depression Inventory) and hedonic capacity (Snaith-Hamilton Pleasure Scale). RESULTS: Compared to controls, patients demonstrated higher anhedonia and depression scores, and a dampening of striatal activation and incentive-related behavioral facilitation (reduction in reaction times) during reward and loss trials of the MID task (ps â€‹< â€‹0.05). In all participants, lower activation of the right striatum during reward trials was correlated with lower incentive-related behavioral facilitation and higher anhedonia scores (ps â€‹< â€‹0.05). Finally, among patients, lower bilateral striatal activation during loss trials was correlated with higher depression scores (ps â€‹< â€‹0.05). CONCLUSIONS: In chronic pain, PA reduction and NA increase are accompanied by striatal hypofunction as measured by the MID task.

Heroin delay discounting and impulsivity: Modulation by DRD1 genetic variation.

BACKGROUND: Dopamine D1 receptors (encoded by DRD1) are implicated in drug addiction and high-risk behaviors. Delay discounting (DD) procedures measure decisional balance between choosing smaller/sooner rewards vs larger/later rewards. Individuals with higher DD (rapid discounting) are prone to maladaptive behaviors that provide immediate reinforcement (eg, substance use). DRD1 variants have been linked with increased DD (in healthy volunteers) and opioid abuse. This study determined whether four dopaminergic functional variants modulated heroin DD and impulsivity. METHODS: Substance use, DD, and genotype data (DRD1 rs686 and rs5326, DRD3 rs6280, COMT rs4680) were obtained from 106 current heroin users. Subjects completed an array of DD choices during two imagined conditions: heroin satiation and withdrawal. Rewards were expressed as $10 heroin bag units, with maximum delayed amount of 30 bags. Delays progressively increased from 3 to 96 hours. RESULTS: DRD1 rs686 (A/A, n = 25; G/A, n = 56; G/G, n = 25) was linearly related to the difference in heroin DD (area under the curve; AUC) between the heroin satiation and withdrawal conditions; specifically, G/G homozygotes had a significantly smaller (satiation minus withdrawal) AUC difference score had higher drug-use impulsivity questionnaire scores, relative to A/A homozygotes, with G/A intermediate. DRD3 and COMT variants were not associated with these DD and impulsivity outcomes. CONCLUSION: DRD1 rs686 modulated the difference in heroin DD score between pharmacological states and was associated with drug-use impulsivity. These data support a role of DRD1 in opioid DD and impulsive behaviors.

Association between impulsivity and neural activation to alcohol cues in heavy drinkers.

This study examines associations between two measures of impulsivity and brain response to alcohol taste cues. Impulsivity is both a risk factor for and a consequence of alcohol use and misuse. Frontostriatal circuits are linked to both impulsivity and addiction-related behaviors, including response to alcohol cues. Non-treatment-seeking heavy drinkers (n = 55) completed (i) an fMRI alcohol taste cue-reactivity paradigm; (ii) the monetary choice questionnaire (MCQ), a measure of choice impulsivity where participants choose between smaller, sooner rewards and larger, delayed rewards; (iii) and the UPPS-P Impulsive Behavior Scale, a self-report measure assessing five impulsivity factors. General linear models identified associations between neural alcohol taste cue-reactivity and impulsivity, adjusting for age, gender, and smoking status. Self-reported sensation seeking was positively associated with alcohol taste cue-elicited activation in frontostriatal regions, such that individuals who reported higher sensation seeking displayed greater neural response to alcohol taste cues. Conversely, delay discounting was negatively associated with activation in frontoparietal regions, such that individuals who reported greater discounting showed less cue-elicited activation. There were no significant associations between other self-reported impulsivity subscales and alcohol taste cue-reactivity. These results indicate that sensation seeking is associated with reward responsivity, while delay discounting is associated with recruitment of self-control circuitry.

Assessing susceptibility of a temporal discounting task to faking.

OBJECTIVE: Temporal discounting describes the devaluation of delayed rewards. Because temporal discounting is predictive of substance misuse, its clinical assessment could improve prevention (e.g., identifying at-risk youth) and treatment (e.g., predicting relapse). However, if discounting rates can be faked (e.g., to avoid treatment), their clinical utility may be limited. For the first time, we measured the influence of deception in a temporal discounting task. METHOD: We recruited 200 participants (44% female, Mage= 33) through Amazon Mechanical Turk. Participants completed a discounting assessment with instructions to (a) respond honestly, (b) fake good (i.e., simulate better versions of themselves), or (c) fake bad. RESULTS: Generalized linear mixed effects analysis showed that in Experiment 1, nonclinical samples faked good ( Mhyperbolic discounting rate= 0.002) or bad ( M= 0.086) compared to the Honest group ( M= 0.008). In Experiment 2, cigarette smokers faked good ( M= 0.003) compared to the Honest group ( M= 0.025). CONCLUSIONS: Temporal discounting transects the disciplines of psychology, biology, and behavioral economics. Before its promise as an endophenotype can be realized, assessments must be translated for clinical use. Opaquer temporal discounting tasks, or secondary measures of lying, may be required before temporal discounting can be confidently extended to clinical settings.

To smoke or not to smoke: Does delay discounting affect the proximal choice to smoke?

BACKGROUND: Delay discounting rate shows robust predictive validity for tobacco use behaviors and is a new therapeutic target in the treatment of tobacco use. Identifying factors that influence relations between delay discounting and the choice to smoke cigarettes is key to the development of effective interventions that target delay discounting to reduce cigarette consumption. OBJECTIVE: To examine relations between delay discounting, motivational factors, self-efficacy, nicotine dependence level, and the proximal choice to smoke in the context of other commonly rewarding activity choices. METHODS: In this cross-sectional design, daily smokers (n = 480) from Amazon Mechanical Turk completed a questionnaire that assessed delay discounting rate; motivation, intention, and self-efficacy to quit smoking; nicotine dependence level, and the preference for immediately engaging in multiple commonly rewarding activities. We hypothesized that 1) greater motivation to quit would be associated with lower priority given to smoking; 2) the relation between delay discounting and the priority given to smoking would be mediated by motivation, self-efficacy, and nicotine dependence level. RESULTS: Greater motivation to quit was significantly associated with a lower priority given to smoking. The relation between delay discounting and the priority given to smoking was marginally mediated by nicotine dependence level (p > .057). CONCLUSIONS: Motivation to quit influences decision-making by impacting the prioritization of choices. Nicotine dependence is likely to mediate the relation between delay discounting and the choice to smoke. Interventions that target delay discounting to reduce cigarette consumption or prevent relapse need to account for motivation to quit and nicotine dependence level.

Effects of Delay Discounting and Other Predictors on Smoking Relapse.

Despite the substantial decrease in the prevalence of tobacco smoking and the availability of effective smoking cessation treatments, smoking relapse after formal treatments remains extremely high. Evidence regarding clinical predictors of relapse after quitting is essential to promote long-term abstinence among those who successfully quit. This study aimed to explore whether baseline delay discounting (DD) rates and other sociodemographic, psychological, and smoking-related variables predicted relapse to smoking at six-month follow-up. Participants were 188 adult smokers (mean age = 42.9, SD = 12.9; 64.4% females) who received one of three treatment conditions: 6-weeks of cognitive-behavioral treatment (CBT) alone; or combined with contingency management (CBT + CM); or combined with cue exposure treatment (CBT+CET). Smoking status was biochemically verified. Logistic regression was conducted to examine prospective predictors of smoking relapse at six months after an initial period of abstinence. Greater DD rates (OR: 0.18; 95% CI [0.03, 0.93]), being younger (OR: 0.96; 95% CI [0.94, 0.99]), high nicotine dependence (OR: 1.34; 95% CI [1.13, 1.60]), and a higher number of previous quit attempts (OR: 4.47; 95% CI [1.14, 17.44]) increased the likelihood of smoking relapse at six-month follow-up. Besides sociodemographic and smoking-related characteristics, greater DD predisposes successful quitters to relapse back to smoking. These results stress the relevance of incorporating specific treatment components for reducing impulsivity.

Evaluating non-medical prescription opioid demand using commodity purchase tasks: test-retest reliability and incremental validity.

RATIONALE: Non-medical prescription opioid use and opioid use disorder (OUD) present a significant public health concern. Identifying behavioral mechanisms underlying OUD will assist in developing improved prevention and intervention approaches. Behavioral economic demand has been extensively evaluated as a measure of reinforcer valuation for alcohol and cigarettes, whereas prescription opioids have received comparatively little attention. OBJECTIVES: Utilize a purchase task procedure to measure the incremental validity and test-retest reliability of opioid demand. METHODS: Individuals reporting past year non-medical prescription opioid use were recruited using the crowdsourcing platform Amazon Mechanical Turk (mTurk). Participants completed an opioid purchase task as well as measures of cannabis demand, delay discounting, and self-reported pain. A 1-month follow-up was used to evaluate test-retest reliability. RESULTS: More intense and inelastic opioid demand was associated with OUD and more intense cannabis demand was associated with cannabis use disorder. Multivariable models indicated that higher opioid intensity and steeper opioid delay discounting rates each significantly and uniquely predicted OUD. Increased opioid demand intensity, but not elasticity, was associated with higher self-reported pain, and no relationship was observed with perceived pain relief from opioids. Opioid demand showed acceptable-to-good test-retest reliability (e.g., intensity rxx = .75; elasticity rxx = .63). Temporal reliability was lower for cannabis demand (e.g., intensity rxx = .53; elasticity rxx = .58) and discounting rates (rxx = .42-.61). CONCLUSIONS: Opioid demand was incrementally valid and test-retest reliable as measured by purchase tasks. These findings support behavioral economic demand as a clinically useful measure of drug valuation that is sensitive to individual difference variables.