Skip to main content Accessibility help
×
Hostname: page-component-848d4c4894-p2v8j Total loading time: 0.001 Render date: 2024-06-05T19:45:58.823Z Has data issue: false hasContentIssue false

15 - Measuring Substance Use Contexts and Substance-Free Reinforcement

from Part II - Meso Level

Published online by Cambridge University Press:  23 December 2021

Jalie A. Tucker
Affiliation:
University of Florida
Katie Witkiewitz
Affiliation:
University of New Mexico
Get access

Summary

Research on addictive behavior change has highlighted the importance of assessing and monitoring contextual features surrounding substance use. This chapter summarizes contextual, substance-involved, and substance-free measurement procedures that are used in human research and practice. These measures are guided by behavioral economic theory and comprise techniques to assess the interaction of the environment and the person, including aspects of enjoyment and contextual situations associated with drug-taking, rating scale measures of drug and drug-free rewards, and relative reinforcement value measures. The approaches summarized demonstrate the importance of focusing on substance use contexts, the behavioral economic factors that support continued substance use, and the availability of substance-free reinforcement. These factors should be an integral feature of substance-related assessment and interventions to reduce harmful substance use and promote recovery from alcohol and other substance use disorders.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2022

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Acuff, S. F., Amlung, M. T., Dennhardt, A. A., MacKillop, J., & Murphy, J. G. (2020b). Experimental manipulations of behavioral economic demand for addictive commodities: A meta-analysis. Addiction, 115(5), 817831. https://doi.org/10.1111/add.14865CrossRefGoogle ScholarPubMed
Acuff, S. F., Luciano, M. T., Soltis, K. E., Joyner, K. J., McDevitt-Murphy, M. E., & Murphy, J. G. (2018b). Access to environmental reward mediates the relation between posttraumatic stress symptoms and alcohol problems and craving. Experimental and Clinical Psychopharmacology, 25(5), 412421. https://doi.org/10.1037/pha0000181CrossRefGoogle Scholar
Acuff, S. F., & Murphy, J. G. (2017). Further examination of the temporal stability of alcohol demand. Behavioral Processes, 141(Part 1), 3341. https://doi.org/10.1016/j.beproc.2017.03.020Google Scholar
Acuff, S. F., Soltis, K. E., Dennhardt, A. A., Borsari, B., Martens, M. P., & Murphy, J. G. (2017). Future so bright? Delay discounting and consideration of future consequences predict academic performance among college drinkers. Experimental and Clinical Psychopharmacology, 25(5), 412421. https://doi.org/10.1037/pha0000143Google Scholar
Acuff, S. F., Soltis, K. E., & Murphy, J. G. (2020a). Using demand curves to quantify the reinforcing value of social and solitary drinking. Alcoholism: Clinical and Experimental Research, 44(7), 14971507. https://doi.org/10.1111/acer.14382CrossRefGoogle ScholarPubMed
Ainslie, G., & Herrnstein, R. J. (1981). Preference reversal and delayed reinforcement. Animal Learning & Behavior, 9(4), 476482. https://doi.org/10.3758/BF03209777Google Scholar
Amlung, M. T., Acker, J. D., Stojek, M. K., Murphy, J. G., & MacKillop, J. (2012). Is talk “cheap”? An initial investigation of the equivalence of alcohol purchase task performance for hypothetical and actual rewards. Alcoholism: Clinical and Experimental Research, 36(4), 716724. https://doi.org/10.1111/j.1530-0277.2011.01656.xGoogle Scholar
Amlung, M. T., & MacKillop, J. (2015). Further evidence of close correspondence for alcohol demand decision making for hypothetical and incentivized rewards. Behavioral Processes, 113, 187191. https://doi.org/10.1016/j.beproc.2015.02.012CrossRefGoogle ScholarPubMed
Andrabi, N., Khoddam, R., & Leventhal, A. M. (2017). Socioeconomic disparities in adolescent substance use: Role of enjoyable alternative substance-free activities. Social Science & Medicine, 176, 175182. https://doi.org/10.1016/j.socscimed.2016.12.032Google Scholar
Annis, H. M., & Graham, J. M. (1988). Situational Confidence Questionnaire user’s guideAddiction Research Foundation.Google Scholar
Annis, H. M., Graham, J., & Davis, C. (1987). Inventory of Drinking Situations (IDS) user’s guide. Addiction Research Foundation.Google Scholar
Annis, H. M., Martin, G., & Graham, J. M. (1992). Inventory of Drug-Taking Situations (IDTS): User’s guide. Addiction Research Foundation.Google Scholar
Armento, M. E. A., & Hopko, D. R. (2007). The environmental reward observation scale (EROS): Development, validity, and reliability. Behavior Therapy, 38(2), 107119. https://doi.org/10.1016/j.beth.2006.05.003Google Scholar
Audrain-McGovern, J. E., Rodriguez, D., Epstein, L. H., Rodgers, K., Cuevas, J., & Wileyto, E. P. (2009). Young adult smoking: What factors differentiate ex-smokers, smoking cessation treatment seekers, and nontreatment seekers?Addictive Behaviors, 34(12), 10361041. https://doi.org/10.1016/j.addbeh.2009.06.012Google Scholar
Audrain-McGovern, J. E., Rodriguez, D., Rodgers, K., & Cuevas, J. (2010). Declining alternative reinforcers link depression to young adult smoking. Addiction, 106(1), 178187. https://doi.org/10.1111/j.1360-0443.2010.03113.xCrossRefGoogle ScholarPubMed
Baum, W. M. & Rachlin, H. C. (1969). Choice as time allocation. Journal of Experimental Annals of Behavior, 12 ,861874. https://doi.org/10.1901/jeab.1969.12-861Google Scholar
Benson, T. A., Little, C. S., Henslee, A. M., & Correia, C. J. (2009). Effects of reinforcer magnitude and alternative reinforcer delay on preference for alcohol during a multiple-choice procedure. Drug and Alcohol Dependence, 100(1–2), 161163. https://doi.org/10.1016/j.drugalcdep.2008.09.005Google Scholar
Berry, M. S., Sweeney, M. M., Morath, J., Odum, A. L., & Jordan, K. E. (2014). The nature of impulsivity: Visual exposure to natural environments decreases impulsive decision-making in a delay discounting taskPloS one9(5), e97915. https://doi.org/10.1371/journal.pone.0097915Google Scholar
Berry, M. S., Repke, M. A., Nickerson, N. P., Conway, L. G., Odum, A. L., & Jordan, K. E. (2015). Making time for nature: Visual exposure to natural environments lengthens subjective time perception and reduces impulsivityPloS one10(11), e0141030. https://doi.org/10.1371/journal.pone.0141030Google Scholar
Bertholet, N., Murphy, J. G., Daeppen, J. B., Gmel, G., & Gaume, J. (2015). The alcohol purchase task in young men from the general population. Drug and Alcohol Dependence, 146(1), 3944. https://doi.org/10.1016/j.drugalcdep.2014.10.024Google Scholar
Bickel, W. K., Johnson, M. W., Koffarnus, M. N., MacKillop, J., & Murphy, J. G. (2014). The behavioral economics of substance use disorders: Reinforcement pathologies and their repair. Annual Review of Clinical Psychology, 10, 641677. https://doi.org/10.1146/annurev-clinpsy-032813-153724Google Scholar
Boswell, J. F., Iles, B. R., Gallagher, M. W., & Farchione, T. J. (2017). Behavioral activation strategies in cognitive-behavioral therapy for anxiety disorders. Psychotherapy, 54(3), 231236. https://doi.org/10.1037/pst0000119Google Scholar
Bujarski, S., MacKillop, J., & Ray, L. A. (2012). Understanding naltrexone mechanism of action and pharmacogenetics in Asian Americans via behavioral economics: A preliminary study. Experimental and Clinical Psychopharmacology, 20(3), 181190. https://doi.org/10.1037/a0027379CrossRefGoogle ScholarPubMed
Carvalho, J. P., Gawrysiak, M. J., Hellmuth, J. C., McNulty, J. K., Magidson, J. F., Lejuez, C. W., & Hopko, D. R. (2011). The reward probability index: Design and validation of a scale measuring access to environmental reward. Behavior Therapy, 42(2), 249262. https://doi.org/10.1016/j.beth.2010.05.004Google Scholar
Correia, C. J., & Carey, K. B. (1999). Applying behavioral theories of choice to substance use in a sample of psychiatric outpatients. Psychology of Addictive Behaviors, 13(3), 207212. https://doi.org/10.1037/0893-164X.13.3.207CrossRefGoogle Scholar
Correia, C. J., Carey, K. B., & Borsari, B. (2002). Measuring substance-free and substance-related reinforcement in the natural environment. Psychology of Addictive Behaviors, 16(1), 2834. https://doi.org/10.1037//0893-164X.16.1.28CrossRefGoogle ScholarPubMed
Correia, C. J., Simons, J. S., Carey, K. B., & Borsari, B. E. (1998). Predicting drug use: Application of behavioral theories of choice. Addictive Behaviors, 23(5), 705709. https://doi.org/10.1016/S0306–4603(98)00027-6Google Scholar
Daughters, S. B., Braun, A. R., Sargeant, M. N., Reynolds, E. K., Hopko, D. R., Blanco, C., & Lejuez, C. W. (2008). Effectiveness of a brief behavioral treatment for inner-city illicit drug users with elevated depressive symptoms: The life enhancement treatment for substance use (LETS Act!). Journal of Clinical Psychiatry, 8, 18. https://doi.org/10.4088/jcp.v69n0116Google Scholar
Daughters, S. B.Magidson, J. F.Anand, D.Seitz‐Brown, C. J.Chen, Y., & Baker, S. (2018The effect of a behavioral activation treatment for substance use on post‐treatment abstinence: A randomized controlled trial. Addiction, 113535544. https://doi.org/10.1111/add.14049Google Scholar
Daughters, S. B., Magidson, J. F., Lejuez, C. W., & Chen, Y. (2016). LETS ACT: A behavioral activation treatment for substance use and depression. Journal of Dual Diagnosis, 9(2/3), 7484. https://doi.org/10.1108/ADD-02-2016-0006Google Scholar
Davison, M., & Baum, W. M. (2000). Choice in a variable environment: Every reinforcer counts. Journal of the Experimental Analysis of Behavior, 74(1), 124. https://doi.org/10.1901/jeab.2000.74-1Google Scholar
Davison, M., & Baum, W. M. (2003). Every reinforcer counts: Reinforcer magnitude and local preference. Journal of the Experimental Analysis of Behavior, 80(1), 95129. https://doi.org/10.1901/jeab.2003.80-95Google Scholar
Dennhardt, A. A., Yurasek, A. M., & Murphy, J. G. (2015). Change in delay discounting and substance reward value following a brief alcohol and drug use intervention. Journal of the Experimental Analysis of Behavior, 103(1), 125140. https://doi.org/10.1002/jeab.121CrossRefGoogle ScholarPubMed
DiClemente, C. C., Carbonari, J. P., Mongomery, R. P. G., & Hughes, S. O. (1994). The Alcohol Abstinence Self-Efficacy Scale. Journal of Studies on Alcohol, 55(2), 141148. https://doi.org/10.15288/jsa.1994.55.141CrossRefGoogle ScholarPubMed
Donovan, D. M. (2003). Assessments to aid in the treatment planning process. In Allen, J. P. & Wilson, V. B. (Eds.), Assessing alcohol problems: A guide for clinicians and researchers (2nd ed., pp. 125188) (NIH Publication No. 03–3745). National Institute of Alcohol Abuse and Alcoholism.Google Scholar
Donovan, D. M. (2013). Evidence-based assessment: Strategies and measures in addictive behaviors. In McCrady, B. S. & Epstein, E. E. (Eds.), Addictions: A comprehensive guidebook (2nd ed., pp. 311351). Oxford University Press.Google Scholar
Epstein, E. E., & McCrady, B. S. (2009). A cognitive-behavioral treatment program for overcoming alcohol problems: Therapist guide. Oxford University Press. http://ezproxy.memphis.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2009-06101-000&site=ehost-liveGoogle Scholar
Fenzel, L. M. (2005). Multivariate analyses of predictors of heavy episodic drinking and drinking-related problems among college students. Journal of College Student Development, 46(2), 126140. https://doi.org/10.1353/csd.2005.0013Google Scholar
Gilbert, L. J., Murphy, J. G., & Dennhardt, A. A. (2014). A behavioral economic analysis of the effect of next-day responsibilities on drinking. Psychology of Addictive Behaviors, 28(4), 12531258. https://doi.org/10.1037/a0038369Google Scholar
Griffiths, R. R., Brady, J. V., & Bradford, L. D. (1979). Predicting the abuse liability of drugs with animal drug self-administration procedures: Psychomotor stimulants and hallucinogens. In Thompson, T. & Dews, P. B. (Eds.), Advances in Behavioral Pharmacology (vol. 2) (pp. 163208). Academic Press.Google Scholar
Halkitis, P. N., Parsons, J. T., & Wilton, L. (2003). An exploratory study of contextual and situation factors related to methamphetamine use among gay and bisexual men in New York City. Journal of Drug Issues, 33 ,413432. https://doi.org/10.1177/002204260303300207Google Scholar
Hallgren, K. A., Greenfield, B. L., & Ladd, B. O. (2016). Psychometric properties of the adolescent reinforcement survey schedule-alcohol use version with college student drinkers. Substance Use and Misuse, 51(7), 812822. https://doi.org/10.3109/10826084.2016.1155609Google Scholar
Herrnstein, R. J. (1970). On the law of effectJournal of Experimental Analysis of Behavior, 13 , (2), 243266. https://doi.org/10.1901/jeab.1970.13-243Google Scholar
Higgins, S. T., Heil, S. H., & Lussier, J. P. (2004). Clinical implications of reinforcement as a determinant of substance use disorders. Annual Review of Psychology, 55 , 431461. https://doi.org/10.1146/annurev.psych.55.090902.142033Google Scholar
Holmes, G. R., Heckel, R. V., Chestnut, E., Harris, N., & Cautela, J. (1987). Factor analysis of the adolescent reinforcement survey schedule (ARSS) with college freshmen. Journal of Clinical Psychology, 43(4), 386390. https://doi.org/10.1002/1097-4679(198707)43:4<386::AID-JCLP2270430408>3.0.CO;2-EGoogle Scholar
Holmes, G. R., Sakano, Y., Cautela, J., & Holmes, G. L. (1991). Comparison of factor‐analyzed adolescent reinforcement survey schedule (ARSS) responses from Japanese and American adolescents. Journal of Clinical Psychology, 47(6), 749755. https://doi.org/10.1002/1097-4679(199111)47:6<749::AID-JCLP2270470604>3.0.CO;2-GGoogle Scholar
Hursh, S. R. (1984). Behavioral economics. Journal of the Experimental Analysis of Behavior, 42(3), 435452. https://doi.org/10.1901/jeab.1984.42-435Google Scholar
Johnson, M. W. & Bickel, W. K. (2006). Replacing relative reinforcing efficacy with behavioral economic demand curves. Journal of the Experimental Analysis of Behavior, 85 ,7393. https://doi.org/10.1901/jeab.2006.102-04Google Scholar
Johnson, M. W., Bickel, W. K., & Baker, F. (2007). Moderate drug use and delay discounting: A comparison of heavy, light, and never smokersExperimental and Clinical Psychopharmacology15(2), 187194. https://doi.org/10.1037/1064-1297.15.2.187Google Scholar
Joyner, K. J., Meshesha, L. Z., Dennhardt, A. A., Borsari, B., Martens, M. P., & Murphy, J. G. (2019). High opportunity cost demand as an indicator of weekday drinking and distinctly severe alcohol problems: A behavioral economic analysis. Alcoholism: Clinical and Experimental Research, 43(12), 26072619. https://doi.org/10.1111/acer.14206Google Scholar
Joyner, K. J., Pickover, A. M., Soltis, K. E., Dennhardt, A. A., Martens, M. P., & Murphy, J. G. (2016). Deficits in access to reward are associated with college student alcohol use disorder. Alcoholism: Clinical and Experimental Research, 40(12), 26852691. https://doi.org/10.1111/acer.13255CrossRefGoogle ScholarPubMed
Kelly, B. C., & Parsons, J. T. (2008). Predictors and comparisons of polydrug and non-polydrug cocaine use in club subcultures. American Journal of Drug and Alcohol Abuse, 24, 774781. https://doi.org/10.1080/00952990802455451Google Scholar
Khoddam, R., Cho, J., Jackson, N. J., & Leventhal, A. M. (2018). Diminished alternative reinforcement as a mechanism linking conduct problems and substance use in adolescence: A longitudinal examination. Addiction, 113(6), 11391148. https://doi.org/10.1111/add.14160Google Scholar
Koffarnus, M. N., Jarmolowicz, D. P., Mueller, E. T., & Bickel, W. K. (2013). Changing delay discounting in the light of the competing neurobehavioral decision systems theory: A review. Journal of the Experimental Analysis of Behavior, 99(1), 3257. https://doi.org/10.1002/jeab.2CrossRefGoogle ScholarPubMed
Lau-Barraco, C., Linden-Carmichael, A. N., Braitman, A. L., & Stamates, A. L. (2016). Identifying patterns of situation antecedents to heavy drinking among college students. Addiction Research and Theory, 24(6), 431440. https://doi.org/10.3109/16066359.2016.1153077Google Scholar
Lemley, S. M., Kaplan, B. A., Reed, D. D., Darden, A. C., & Jarmolowicz, D. P. (2016). Reinforcer pathologies: Predicting alcohol related problems in college drinking men and women. Drug and Alcohol Dependence, 167, 5766. https://doi.org/10.1016/j.drugalcdep.2016.07.025Google Scholar
Lewinsohn, P. M. (1974). A behavioral approach to depression. In Friedman, R. J. & Katz, M. M. (Eds.), The psychology of depression: Contemporary theory and research (pp. 157–174)John Wiley & Sons.Google Scholar
Lewinsohn, P. M., Sullivan, J. M., & Grosscup, Sally, J. (1980). Changing reinforcing events: An approach to the treatment of depression. Psychotherapy: Theory, Research, & Practice, 17(3), 322334. https://doi.org/10.1037/h0085929Google Scholar
Luciano, M. T., Acuff, S. F., McDevitt-Murphy, M. E., & Murphy, J. G. (2019). Behavioral economics and coping-related drinking motives in trauma exposed drinkers: Implications for the self-medication hypothesis. Experimental and Clinical Psychopharmacology, 28(3), 265270. https://doi.org/10.1037/pha0000318Google Scholar
MacKillop, J., Amlung, M. T., & Acker, J. D. (2010a). Further validation of an alcohol purchase task: Equivalence of versions for hypothetical and actual rewards. Alcoholism: Clinical and Experimental Research, 34(6), 48A. https://doi.org/10.1111/j.1530-0277.2010.01210.xGoogle Scholar
MacKillop, J. & Murphy, J. G. (2007). A behavioral economic measure of demand for alcohol predicts brief intervention outcomes, Drug and Alcohol Dependence, 89(2–3), 227233. https://psycnet.apa.org/doi/10.1016/j.drugalcdep.2007.01.002CrossRefGoogle ScholarPubMed
MacKillop, J., O’Hagen, S., Lisman, S. A., Murphy, J. G., Ray, L. A., Tidey, J. W., McGeary, J. E., & Monti, P. M. (2010b). Behavioral economic analysis of cue-elicited craving for alcohol. Addiction, 105(9), 15991607. https://doi.org/10.1111/j.1360-0443.2010.03004.xGoogle Scholar
MacPherson, L., Collado, A., Ninnemann, A., & Hoffman, E. (2017). Development of a behavioral activation-based intervention for cigarette-smoking young adults. Cognitive and Behavioral Practice, 24(1), 101114. https://doi.org/10.1016/j.cbpra.2016.03.004Google Scholar
MacPherson, L., Tull, M. T., Matusiewicz, A. K., Rodman, S., Strong, D. R., Kahler, C. W., Hopko, D. R., Zvolensky, M. J., Brown, R. A., & Lejuez, C. W. (2010). Randomized controlled trial of behavioral activation smoking cessation treatment for smokers with elevated depressive symptoms. Journal of Consulting and Clinical Psychology, 78(1), 5561. https://doi.org/10.1037/a0017939Google Scholar
MacPhillamy, D. J., & Lewinsohn, P. M. (1982). The pleasant events schedule: Studies on reliability, validity, and scale intercorrelation. Journal of Consulting and Clinical Psychology, 50(3), 363380. https://doi.org/10.1037/0022-006X.50.3.363Google Scholar
Magidson, J. F., Gorka, S. M., MacPherson, L., Hopko, D. R., Blanco, C., Lejuez, C. W., & Daughters, S. B. (2011). Examining the effect of the life enhancement treatment for substance use (LETS ACT) on residential substance abuse treatment retention. Addictive Behaviors, 36(6), 615623. https://doi.org/10.1016/j.addbeh.2011.01.016CrossRefGoogle ScholarPubMed
Magidson, J. F., Robustelli, B. L., Seitz-Brown, C. J., & Whisman, M. A. (2016). Activity enjoyment, not frequency, is associated with alcohol-related problems and heavy episodic drinking. Psychology of Addictive Behaviors, 31(1), 7378. https://doi.org/10.1037/adb0000220Google Scholar
Maisto, S. A, Carey, K. B, & Bradizza, C. M. (1999). Social learning theory. In Leonard, K. E. & Blaine, H. T. (Eds.), Psychological theories of drinking and alcoholism (pp. 106163). Guilford.Google Scholar
Marlatt, G. A. & Donovan, D., M. (Eds.). (2005). Relapse prevention: Maintenance strategies in the treatment of addictive behaviors. Guildford.Google Scholar
Marlatt, G. A. & Gordon, J. R. (Eds.) (1985). Relapse prevention: Maintenance strategies in the treatment of addictive behaviors. Guilford.Google Scholar
Mazur, J. E. (1987). An adjusting procedure for studying delayed reinforcement. In Commons, M. L., Mazur, J. E., Nevin, J. A., & Rachlin, H. (Eds.), Quantitative analyses of behavior (vol. 5). The effect of delay and of intervening events on reinforcement value (pp. 5573). Lawrence Erlbaum.Google Scholar
Meshesha, L. Z., Dennhardt, A. A., & Murphy, J. G. (2015). Polysubstance use is associated with deficits in substance-free reinforcement in college students. Journal of Studies on Alcohol and Drugs, 76(1), 106116. www.ncbi.nlm.nih.gov/pubmed/25486399Google Scholar
Meshesha, L. Z., Pickover, A. M., Teeters, J. B., & Murphy, J. G. (2017). A longitudinal behavioral economic analysis of non-medical prescription opioid use among college students. The Psychological Record, 241–251. https://doi.org/10.1007/s40732–017-0235-2Google Scholar
Meshesha, L. Z., Soltis, K. E., Wise, E. A., Rohsenow, D. J., Witkiewitz, K., & Murphy, J. G. (2020). Pilot trial investigating a brief behavioral economic intervention as an adjunctive treatment for alcohol use disorder. Journal of Substance Abuse Treatment, 113, 108002. https://doi.org/10.1016/j.jsat.2020.108002Google Scholar
Meshesha, L. Z., Utzelmann, B., Dennhardt, A. A., & Murphy, J. G. (2018). A behavioral economic analysis of marijuana and other drug use among heavy drinking young adults. Translational Issues in Psychological Science, 4(1), 6575. https://search.proquest.com/docview/2019667186?accountid=14568%0Ahttp://rj9jj8rc3u.search.serialssolutions.com?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&rfr_id=info:sid/ProQ%3Apsycinfo&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.jtGoogle Scholar
Miller, W. R., & Rollnick, S. (2012). Motivational interviewing: Helping people change (3rd ed). Guilford.Google Scholar
Morris, V., Amlung, M. T., Kaplan, B. A., Reed, D. D., Petker, T., & MacKillop, J. (2017). Using crowdsourcing to examine behavioral economic measures of alcohol value and proportionate alcohol reinforcement. Experimental and Clinical Psychopharmacology, 25(4), 314321. https://doi.org/10.1037/pha0000130Google Scholar
Moskal, D., Maisto, S. A., De Vita, M., & Ditre, J. W. (2018). Effects of experimental pain induction on alcohol urge, intention to consume alcohol, and alcohol demand. Experimental and Clinical Psychopharmacology, 26(1), 6576. https://doi.org/10.1037/pha0000170CrossRefGoogle ScholarPubMed
Murphy, J. G., Barnett, N. P., Goldstein, A. L., & Colby, S. M. (2007). Gender moderates the relationship between substance-free activity enjoyment and alcohol use. Psychology of Addictive Behaviors, 21(2), 261265. https://doi.org/10.1037/0893-164X.21.2.261Google Scholar
Murphy, J. G., Correia, C. J., Colby, S. M., & Vuchinich, R. E. (2005). Using behavioral theories of choice to predict drinking outcomes following a brief intervention. Experimental and Clinical Psychopharmacology, 13(2), 93101. https://doi.org/10.1037/1064-1297.13.2.93CrossRefGoogle ScholarPubMed
Murphy, J. G., Dennhardt, A. A., Martens, M. P., Borsari, B., Witkiewitz, K., & Meshesha, L. Z. (2019). A randomized clinical trial evaluating the efficacy of a brief alcohol intervention supplemented with a substance-free activity session or relaxation training. Journal of Consulting and Clinical Psychology, 87(7), 657669. https://doi.org/10.1037/ccp0000412Google Scholar
Murphy, J. G., Dennhardt, A. A., Martens, M. P., Yurasek, A. M., Skidmore, J. R., MacKillop, J., & McDevitt-Murphy, M. E. (2015). Behavioral economic predictors of brief alcohol intervention outcomes. Journal of Consulting and Clinical Psychology, 83(6), 10331043. https://doi.org/10.1038/nbt.3121.ChIP-nexusGoogle Scholar
Murphy, J. G., Dennhardt, A. A., Skidmore, J. R., Borsari, B. E., Barnett, N. P., Colby, S. M., & Martens, M. P. (2012b). A randomized controlled trial of a behavioral economic supplement to brief motivational interventions for college drinking. Journal of Consulting and Clinical Psychology, 80(5), 876886. https://doi.org/10.1037/a0028763Google Scholar
Murphy, J. G., & MacKillop, J. (2006). Relative reinforcing efficacy of alcohol among college student drinkers. Experimental and Clinical Psychopharmacology, 14(2), 219227. https://doi.org/10.1037/1064-1297.14.2.219CrossRefGoogle ScholarPubMed
Murphy, J. G., MacKillop, J., Skidmore, J. R., & Pederson, A. A. (2009). Reliability and validity of a demand curve measure of alcohol reinforcement. Experimental and Clinical Psychopharmacology, 17(6), 396404. https://doi.org/10.1037/a0017684Google Scholar
Murphy, J. G., Skidmore, J. R., Dennhardt, A. A., Martens, M. P., Borsari, B., Barnett, N. P., & Colby, S. M. (2012a). A behavioral economic supplement to brief motivational interventions for college drinking. Addiction Research & Theory, 20(6), 456465. https://doi.org/10.3109/16066359.2012.665965.AGoogle Scholar
Owens, M. M., Ray, L. A., & MacKillop, J. (2015). Behavioral economic analysis of stress effects on acute motivation for alcohol. Journal of the Experimental Analysis of Behavior, 103(1), 7786. https://doi.org/10.1002/jeab.114Google Scholar
Palamar, J. J., Mukherjee, P. P., & Halkitis, P. N. (2008). A longitudinal investigation of powder cocaine use among club-drug using gay and bisexual men. Journal of Studies on Alcohol and Drugs, 69(6), 806813. https://doi.org/10.15288/jsad.2008.69.806Google Scholar
Reed, D. D., Niileksela, C. R., & Kaplan, B. A. (2013). Behavioral economics: A tutorial for behavior analysts in practiceBehavior Analysis in Practice6(1), 3454. https://doi.org/10.1007/BF03391790Google Scholar
Rogers, R. E., Higgins, S. T., Silverman, K., Thomas, C. S., Badger, G. J., Bigelow, G., & Stitzer, M. (2008). Abstinence-contingent reinforcement and engagement in non-drug-related activities among illicit drug abusers. Psychology of Addictive Behaviors, 22(4), 544550. https://doi.org/10.1037/0893-164X.22.4.544CrossRefGoogle ScholarPubMed
Samo, J. A., Tucker, J. A., & Vuchinich, R. E. (1989). Agreement between self-monitoring, recall, and collateral observation measures of alcohol consumption in older adults. Behavioral Assessment, 11(4), 391409.Google Scholar
Schneider, W. (1973). Reinforcer effectiveness as a function of reinforcer rate and magnitude: A comparison of concurrent performances. Journal of the Experimental Analysis of Behavior, 20(3), 461471. https://doi.org/10.1901/jeab.1973.20-461Google Scholar
Schnoll, R. A., Hitsman, B., Blazekovic, S., Veluz-Wilkins, A., Wileyto, E. P., Leone, F. T., & Audrain-McGovern, J. E. (2016). Longitudinal changes in smoking abstinence symptoms and alternative reinforcers predict long-term smoking cessation outcomes. Drug and Alcohol Dependence, 165, 245252. https://doi.org/10.1016/j.drugalcdep.2016.06.017CrossRefGoogle ScholarPubMed
Skidmore, J. R., Murphy, J. G., & Martens, M. P. (2014). Behavioral economic measures of alcohol reward value as problem severity indicators in college students. Experimental and Clinical Psychopharmacology, 22(3), 198210. https://doi.org/10.1016/j.pestbp.2011.02.012.InvestigationsGoogle Scholar
Sklar, S. M., Annis, H. M. & Turner, N. E. (1997). Development and validation of the drug-taking questionnaire: A measure of coping self-efficacy. Addictive Behaviors, 22(5), 655670. https://doi.org/10.1016/S0306–4603(97)00006-3Google Scholar
Sobell, L. C., & Sobell, M. B. (1992). Timeline Follow-Back. In Litten, R. Z. & Allen, J. P. (Eds.), Measuring alcohol consumption. Springer. https://doi.org/10.1007/978-1-4612-0357-5_3Google Scholar
Spelman, P. J., & Simons, J. S. (2018). Effects of sexual arousal and alcohol cues on acute motivation for alcohol. Archives of Sexual Behavior, 0123456789. https://doi.org/10.1007/s10508–018-1195-6Google Scholar
Stein, J. S., Tegge, A. N., Turner, J. K., & Bickel, W. K. (2017). Episodic future thinking reduces delay discounting and cigarette demand: An investigation of the good-subject effect. Journal of Behavioral Medicine, 42 (2), 269276. https://doi.org/10.1007/s10865–017-9908-1Google Scholar
Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. Yale University Press.Google Scholar
Tucker, J. A., Chandler, S. D., & Cheong, J. (2017). Role of choice biases and choice architecture in behavioral economic strategies to reduce addictive behaviors. In Heather, N. & Segal, G. (Eds.), Addiction and choice: Rethinking the relationship (pp. 346364). Oxford University Press.Google Scholar
Tucker, J. A.Cheong, J.Chandler, S. D.Lambert, B. H.Kwok, H., & Pietrzak, B. (2016). Behavioral economic indicators of drinking problem severity and initial outcomes among problem drinkers attempting natural recovery: A cross‐sectional naturalistic studyAddiction11119561965. https://doi.org/10.1111/add.13492Google Scholar
Tucker, J. A., Foushee, H. R., Black, B. C., & Roth, D. L. (2007). Agreement between prospective interactive voice response self-monitoring and structured retrospective reports of drinking and contextual variables during natural resolution attempts. Journal of Studies on Alcohol and Drugs, 68(4), 538542. https://doi.org/10.15288/jsad.2007.68.538Google Scholar
Tucker, J. A., Roth, D. L., Vignolo, M. J., & Westfall, A. O. (2009). A behavioral economic reward index predicts drinking resolutions: Moderation re-visited and compared with other outcomes. Journal of Consulting and Clinical Psychology, 31(9), 17131723. https://doi.org/10.1109/TMI.2012.2196707.SeparateGoogle Scholar
Tucker, J. A., Vuchinich, R. E., Black, B. C., & Rippens, P. D. (2006). Significance of a behavioral economic index of reward value in predicting drinking problem resolution. Journal of Consulting and Clinical Psychology, 74(2), 317326. https://doi.org/10.1037/0022-006X.74.2.317Google Scholar
Tucker, J. A., Vuchinich, R. E., Harris, C. V., Gavornik, M. G., & Rudd, E. J. (1991). Agreement between subject and collateral verbal reports of alcohol consumption in older adults. Journal of Studies on Alcohol, 52(2), 148155. https://doi.org/10.15288/jsa.1991.52.148Google Scholar
Tucker, J. A., Vuchinich, R. E., & Rippens, P. D. (2002). Predicting natural resolution of alcohol-related problems: A prospective behavioral economic analysis. Experimental and Clinical Psychopharmacology, 10, 248257. https://doi.org/10.1037/1064-1297.10.3.248Google Scholar
Turner, N. E., Annis, H. M., & Sklar, S. M. (1997). Measurement of antecedents to drug and alcohol use: Psychometric properties of the Inventory of Drug-taking Situations (IDTS). Behavior Research and Therapy, 35 , 465483. https://doi.org/10.1016/S0005–7967(96)00119-2Google Scholar
Victorio-Estrada, A. & Mucha, R. F. (1997). The inventory of drinking situations (IDS) in current drinkers with different degrees of alcohol problems. Addictive Behaviors, 22, 557565. https://doi.org/10.1016/S0306–4603(96)00061-5Google Scholar
Vaughan, E. L., Corbin, W. R., & Fromme, K. (2009). Academic and social motives and drinking behavior. Psychology of Addictive Behaviors, 23(4), 564576. https://doi.org/10.1037/a0017331Google Scholar
Vuchinich, R. E., & Heather, N. (Eds.) (2003). Choice, behavioural economics, and addiction. Elsevier.Google Scholar
Vuchinich, R. E., & Tucker, J. A. (1988). Contributions from behavioral theories of choice to an analysis of alcohol abuse. Journal of Abnormal Psychology, 97(2), 181195. https://doi.org/10.1037/0021-843X.97.2.181Google Scholar
Vuchinich, R. E., & Tucker, J. A. (1996). Alcoholic relapse, life events, and behavioral theories of choice: A prospective analysis. Experimental and Clinical Psychopharmacology, 4(1), 1928. https://doi.org/10.1037/1064-1297.4.1.19Google Scholar
Waldrop, A. E., Back, S. E., Verduin, M. L., & Brady, K. T. (2007). Triggers for cocaine and alcohol use in the presence and absence of posttraumatic stress disorder. Addictive Behaviors, 32 ,634-9. https://doi.org/10.1016/j.addbeh.2006.06.001Google Scholar
Wechsler, H., Davenport, A. E., Dowdall, G. W., Grossman, S. J., & Zanakos, S. I. (1997). Binge drinking, tobacco, and illicit drug use and involvement in college athletics: A survey of students at 140 American colleges. Journal of the American College Health Association, 45(5), 195200. https://doi.org/10.1080/07448481.1997.9936884Google Scholar
Worley, M. J., Shoptaw, S. J., Bickel, W. K., & Ling, W. (2015). Using behavioral economics to predict opioid use during prescription opioid dependence treatment. Drug and Alcohol Dependence, 148, 6268. https://doi.org/10.1016/j.drugalcdep.2014.12.018.UsingGoogle Scholar
Young, J. S. (1981). Discrete-trial choice in pigeons: Effects of reinforcer magnitude. Journal of the Experimental Analysis of Behavior, 35(1), 2329. https://doi.org/10.1016/j.bbr.2014.03.044Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×