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1. Associations between delay discounting and unhealthy behaviors in substance use recovery.

2. Longitudinal Associations Among Socioeconomic Status, Delay Discounting, and Substance Use in Adolescence.

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

4. Episodic future thinking in type 2 diabetes: Further development and validation of the Health Information Thinking control for clinical trials.

5. Utility of the 5-trial adjusting delay task in screening for high delay discounting rates: A cohort study of individuals reporting harmful alcohol and tobacco use.

6. Delay discounting in adults with and without chronic pain: Differentiation across commodity and sign.

7. Examining neurobehavioral differences that support success in recovery from alcohol and other substance use disorders.

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

9. Rate-dependent effects of narrative interventions in a longitudinal study of individuals who use alcohol.

11. The Associations between Remission Status, Discounting Rates, and Recovery from Substance Use Disorders.

12. Narrative theory IV: Within-subject effects of active and control scarcity narratives on delay discounting in alcohol use disorder.

13. Chronic pain and COVID-19: The association of delay discounting with perceived stress and pain severity.

14. Are poor quality data just random responses?: A crowdsourced study of delay discounting in alcohol use disorder.

15. Episodic Future Thinking about Smoking-Related Illness: A Preliminary Investigation of Effects on Delay Discounting, Cigarette Craving, and Cigarette Demand.

16. Future thinking to decrease real-world drinking in alcohol use disorder: Repairing reinforcer pathology in a randomized proof-of-concept trial.

17. The phenotype of recovery VII: Delay discounting mediates the relationship between time in recovery and recovery progress.

18. Effects of 6-month episodic future thinking training on delay discounting, weight loss and HbA1c changes in individuals with prediabetes.

19. The phenotype of recovery II: The association between delay discounting, self-reported quality of life, and remission status among individuals in recovery from substance use disorders.

20. Changes in temporal discounting, hedonic hunger, and food addiction during recovery from substance misuse.

21. The phenotype of recovery VI: The association between life-history strategies, delay discounting, and maladaptive health and financial behaviors among individuals in recovery from alcohol use disorders.

22. Temporal discounting as a candidate behavioral marker of obesity.

23. Future Thinking Priming Especially Effective at Modifying Delay Discounting Rates among Cigarette Smokers.

24. Reinforcer pathology in cocaine use disorder: Temporal window determines cocaine valuation.

25. Delay Discounting, Glycemic Regulation and Health Behaviors in Adults with Prediabetes.

26. A story to tell: the role of narratives in reducing delay discounting for people who strongly discount the future.

27. Delay discounting and adjuvant endocrine therapy adherence in hormone receptor-positive breast cancer.

28. The phenotype of recovery V: Does delay discounting predict the perceived risk of relapse among individuals in recovery from alcohol and drug use disorders.

29. Bleak present, bright future: II. Combined effects of episodic future thinking and scarcity on delay discounting in adults at risk for type 2 diabetes.

30. 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.

31. Does Episodic Future Thinking Repair Immediacy Bias at Home and in the Laboratory in Patients With Prediabetes?

32. Reinforcer pathology: Narrative of hurricane-associated loss increases delay discounting, demand, and consumption of highly palatable snacks in the obese.

33. Excessive discounting of delayed reinforcers as a trans-disease process: Update on the state of the science.

34. Practicing prospection promotes patience: Repeated episodic future thinking cumulatively reduces delay discounting.

35. Role of delay discounting in predicting change in HBA1c for individuals with prediabetes.

36. Reinforcer pathology: Common neural substrates for delay discounting and snack purchasing in prediabetics.

37. Longitudinal pathways linking family risk, neural risk processing, delay discounting, and adolescent substance use.

38. Examining interrelationships between the Cigarette Purchase Task and delay discounting among pregnant women.

39. The phenotype of recovery III: Delay discounting predicts abstinence self-efficacy among individuals in recovery from substance use disorders.

40. Willing to Work But Not to Wait: Individuals with Greater Alcohol Use Disorder Show Increased Delay Discounting Across Commodities and Less Effort Discounting for Alcohol.

41. Intergenerational transmission of delay discounting: The mediating role of household chaos.

42. An overview of Bayesian reasoning in the analysis of delay-discounting data.

43. Past and future preference reversals are predicted by delay discounting in smokers and non-smokers.

44. Does delay discounting predict maladaptive health and financial behaviors in smokers?

45. Self-control as measured by delay discounting is greater among successful weight losers than controls.

46. Delay discounting and e-cigarette use: An investigation in current, former, and never cigarette smokers.

47. Less is more: Negative income shock increases immediate preference in cross commodity discounting and food demand.

48. Episodic future thinking reduces delay discounting and cigarette demand: an investigation of the good-subject effect.

49. Narrative theory: II. Self-generated and experimenter-provided negative income shock narratives increase delay discounting.

50. An adaptive, individualized fMRI delay discounting procedure to increase flexibility and optimize scanner time.

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