Skip to main content

Advertisement

Log in

Using an Experimental Medicine Approach to Identify Novel Determinants of Addiction

  • Original Research
  • Published:
Perspectives on Behavior Science Aims and scope Submit manuscript

Abstract

Our understanding and effectiveness in treating addiction is not fully adequate. Therefore, perhaps developing a pragmatic theory for identifying novel determinants and potential interventions is needed. The experimental medicine approach, derived from Claude Bernard, proposes a methodology for inductive theory development and suggests interventions directed at targets closely aligned with the underlying mechanisms of the disorder. The steps of theory development under this approach are intended to (1) identify an intervention target; (2) develop assays to verify target measurement; (3) engage the target via experiment or intervention; and (4) test the degree to which target engagement produces other therapeutically useful changes in the disorder. In this article, we review these steps in detail using an example from our work. That is, shortened temporal windows (target) is frequently observed among those who are addicted. Delay discounting is an assay used to measure that target. We and others have demonstrated manipulation of the target, delay discounting, is associated with changing the drug valuation among those with addiction. We conclude with a culmination of the experimental medicine approach by proposing a recently developed hypothesis of substance use disorder, Reinforcer Pathology 2.0.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. As in Reinforcer Pathology 1.0, the preceding theoretical expression of reinforcer pathology wherein the interaction of steep delay discounting and high valuation of drug reinforcers produced the greatest risk for addiction (Bickel, Jarmolowicz, Mueller, & Gatchalian, 2011a).

References

  • Ainslie, G. (1975). Specious reward: a behavioral theory of impulsiveness and impulse control. Psychological Bulletin, 82(4), 463–496.

    Article  Google Scholar 

  • Ainslie, G, & Schafer, J. E. (1981). The application of economic concepts to the motivational conflict in alcoholism. In A. T. McLellan & K. A. Druley (Eds.), Matching patient needs and treatment methods in alcoholism and drug abuse (pp. 215–245). Springfield, IL: C. C. Thomas.

  • Amlung, M., Petker, T., Jackson, J., Balodis, I., & MacKillop, J. (2016). Steep discounting of delayed monetary and food rewards in obesity: a meta-analysis. Psychological Medicine, 46(11), 2423–2434.

    Article  Google Scholar 

  • Amlung, M., Sweet, L. H., Acker, J., Brown, C. L., & MacKillop, J. (2014). Dissociable brain signatures of choice conflict and immediate reward preferences in alcohol use disorders. Addiction Biology, 19(4), 743–753.

    Article  Google Scholar 

  • Atance, C. M., & O’Neill, D. K. (2001). Episodic future thinking. Trends in Cognitive Sciences, 5(12), 533–539.

    Article  Google Scholar 

  • Athamneh, L. N., Stein, J. S., & Bickel, W. K. (in press). Narrative theory III: Evolutionary narratives addressing mating motives change discounting and tobacco valuation. Experimental & Clinical Psychopharmacology.

  • Benoit, R. G., & Schacter, D. L. (2015). Specifying the core network supporting episodic simulation and episodic memory by activation likelihood estimation. Neuropsychologia, 75, 450–457.

    Article  Google Scholar 

  • Bernard, C. (1957). An introduction to the study of experimental medicine (trans: Green, H.C.). New York: Dover.

  • Bickel, W. K., Crabbe, J. C., & Sher, K. J. (2019). What is addiction? How can animal and human research be used to advance research, diagnosis, and treatment of alcohol and other substance use disorders? Alcoholism. Clinical & Experimental Research, 43(1), 6–21.

    Article  Google Scholar 

  • Bickel, W. K., George Wilson, A., Chen, C., Koffarnus, M. N., & Franck, C. T. (2016). Stuck in time: Negative income shock constricts the temporal window of valuation spanning the future and the past. PloS One, 11(9), e0163051.

    Article  Google Scholar 

  • Bickel, W. K., Jarmolowicz, D. P., Mueller, E. T., & Gatchalian, K. M. (2011a). The behavioral economics and neuroeconomics of reinforcer pathologies: Implications for etiology and treatment of addiction. Current Psychiatry Reports, 13(5), 406–415.

    Article  Google Scholar 

  • Bickel, W. K., Mellis, A. M., Snider, S. E., Athamneh, L. N., Stein, J. S., & Pope, D. A. (2018). 21st century neurobehavioral theories of decision making in addiction: Review and evaluation. Pharmacology, Biochemistry, & Behavior, 164, 4–21.

    Article  Google Scholar 

  • Bickel, W. K., Stein, J. S., Moody, L. N., Snider, S. E., Mellis, A. M., & Quisenberry, A. J. (2017). Toward narrative theory: Interventions for reinforcer pathology in health behavior. In J. R. Stevens (Ed.), Impulsivity (pp. 227–267). New York, NY: Springer.

    Chapter  Google Scholar 

  • Bickel, W. K., Yi, R., Landes, R. D., Hill, P. F., & Baxter, C. (2011b). Remember the future: Working memory training decreases delay discounting among stimulant addicts. Biological Psychiatry, 69(3), 260–265.

    Article  Google Scholar 

  • Daniel, T. O., Stanton, C. M., & Epstein, L. H. (2013a). The future is now: Comparing the effect of episodic future thinking on impulsivity in lean and obese individuals. Appetite, 71, 120–125.

    Article  Google Scholar 

  • Daniel, T. O., Stanton, C. M., & Epstein, L. H. (2013b). The future is now: Reducing impulsivity and energy intake using episodic future thinking. Psychological Science, 24(11), 2339–2342.

    Article  Google Scholar 

  • Du, W., Green, L., & Myerson, J. (2002). Cross-cultural comparisons of discounting delayed and probabilistic rewards. The Psychological Record, 52(4), 479.

    Article  Google Scholar 

  • Foxcroft, D. R., Coombes, L., Wood, S., Allen, D., Almeida Santimano, N. M. L., & Moreira, M. T. (2016). Motivational interviewing for the prevention of alcohol misuse in young adults. Cochrane Database of Systematic Reviews, 7, CD007025.

    PubMed  Google Scholar 

  • Gilbert, D. T., & Wilson, T. D. (2007). Prospection: experiencing the future. Science, 317(5843), 1351–1354.

    Article  Google Scholar 

  • Giordano, L. A., Bickel, W. K., Loewenstein, G., Jacobs, E. A., Marsch, L., & Badger, G. J. (2002). Mild opioid deprivation increases the degree that opioid-dependent outpatients discount delayed heroin and money. Psychopharmacology, 163(2), 174–182.

    Article  Google Scholar 

  • Haushofer, J., & Fehr, E. (2014). On the psychology of poverty. Science, 344(6186), 862–867.

    Article  Google Scholar 

  • Haushofer, J., Schunk, D., & Fehr, E. (2013). Negative income shocks increase discount rates (Working paper). Zurich, Switzerland: University of Zurich.

  • Henik, W., & Domino, G. (1975). Alterations in future time perspective in heroin addicts. Journal of Clinical Psychology, 31(3), 557–564.

    Article  Google Scholar 

  • Insel, T. (2013). Post by former NIMH director Thomas Insel: Transforming diagnosis. Retrieved from https://www.nimh.nih.gov/about/directors/thomas-insel/blog/2013/transforming-diagnosis.shtml. Accessed 17 May 2019.

  • Johnson, M. W., & Bickel, W. K. (2002). Within-subject comparison of real and hypothetical money rewards in delay discounting. Journal of the Experimental Analysis of Behavior, 77(2), 129–146.

    Article  Google Scholar 

  • Johnson, M. W., & Bickel, W. K. (2008). An algorithm for identifying nonsystematic delay-discounting data. Experimental & Clinical Psychopharmacology, 16(3), 264–274.

    Article  Google Scholar 

  • Kirby, K. N., & Maraković, N. N. (1996). Delay-discounting probabilistic rewards: Rates decrease as amounts increase. Psychonomic Bulletin & Review, 3(1), 100–104.

    Article  Google Scholar 

  • Kirby, K. N., Petry, N. M., & Bickel, W. K. (1999). Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls. Journal of Experimental Psychology General, 128(1), 78–87.

    Article  Google Scholar 

  • Klimas, J., Field, C.-A., Cullen, W., O’Gorman, C. S. M., Glynn, L. G., Keenan, E., et al. (2012). Psychosocial interventions to reduce alcohol consumption in concurrent problem alcohol and illicit drug users. Cochrane Database of Systematic Reviews, 11, CD009269.

    PubMed  Google Scholar 

  • Klineberg, S. L. (1968). Future time perspective and the preference for delayed reward. Journal of Personality & Social Psychology, 8(3), 253–257.

    Article  Google Scholar 

  • Koffarnus, M. N., & Bickel, W. K. (2014). A 5-trial adjusting delay discounting task: accurate discount rates in less than one minute. Experimental & Clinical Psychopharmacology, 22(3), 222–228.

    Article  Google Scholar 

  • Koffarnus, M. N., Deshpande, H. U., Lisinski, J. M., Eklund, A., Bickel, W. K., & LaConte, S. M. (2017). An adaptive, individualized fMRI delay discounting procedure to increase flexibility and optimize scanner time. NeuroImage, 161, 56–66.

    Article  Google 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), 32–57.

    Article  Google Scholar 

  • Lin, H., & Epstein, L. H. (2014). Living in the moment: effects of time perspective and emotional valence of episodic thinking on delay discounting. Behavioral Neuroscience, 128(1), 12–19.

    Article  Google Scholar 

  • MacKillop, J., Amlung, M. T., Few, L. R., Ray, L. A., Sweet, L. H., & Munafò, M. R. (2011). Delayed reward discounting and addictive behavior: a meta-analysis. Psychopharmacology, 216(3), 305–321.

    Article  Google Scholar 

  • Madden, G. J., Begotka, A. M., Raiff, B. R., & Kastern, L. L. (2003). Delay discounting of real and hypothetical rewards. Experimental & Clinical Psychopharmacology, 11(2), 139–145.

    Article  Google Scholar 

  • Madden, G. J., & Johnson, P. S. (2010). A delay-discounting primer. In G. J. Madden & W. K. Bickel (Eds.), Impulsivity: The behavioral and neurological science of discounting (pp. 11–37). Washington, DC: American Psychological Association.

    Chapter  Google Scholar 

  • Madden, G. J., Petry, N. M., Badger, G. J., & Bickel, W. K. (1997). Impulsive and self-control choices in opioid-dependent patients and non-drug-using control participants: Drug and monetary rewards. Experimental & Clinical Psychopharmacology, 5(3), 256–262.

    Article  Google Scholar 

  • Madden, G. J., Raiff, B. R., Lagorio, C. H., Begotka, A. M., Mueller, A. M., Hehli, D. J., & Wegener, A. A. (2004). Delay discounting of potentially real and hypothetical rewards: II. Between- and within-subject comparisons. Experimental & Clinical Psychopharmacology, 12(4), 251–261.

    Article  Google Scholar 

  • Manganiello, J. A. (1978). Opiate addiction: a study identifying three systematically related psychological correlates. International Journal of the Addictions, 13(5), 839–847.

    Article  Google Scholar 

  • McCance, R. A. (1951). The practice of experimental medicine: President’s address. Proceedings of the Royal Society of Medicine, 44(3), 189–194.

    Article  Google Scholar 

  • McClure, S. M., Laibson, D. I., Loewenstein, G., & Cohen, J. D. (2004). Separate neural systems value immediate and delayed monetary rewards. Science, 306(5695), 503–507.

    Article  Google Scholar 

  • Mellis, A. M., Athamneh, L. N., Stein, J. S., Sze, Y. Y., Epstein, L. H., & Bickel, W. K. (2018a). Less is more: Negative income shock increases immediate preference in cross commodity discounting and food demand. Appetite, 129, 155–161.

    Article  Google Scholar 

  • Mellis, A. M., Snider, S. E., & Bickel, W. K. (2018b). Narrative theory: II. Self-generated and experimenter-provided negative income shock narratives increase delay discounting. Experimental & Clinical Psychopharmacology, 26(2), 113–118.

    Article  Google Scholar 

  • Mowrer, O. H., & Ullman, A. D. (1945). Time as a determinant in integrative learning. Psychological Review, 52(2), 61.

    Article  Google Scholar 

  • Nielsen, L., Riddle, M., King, J. W., NIH Science of Behavior Change Implementation Team, Aklin, W. M., Chen, W., et al. (2018). The NIH Science of Behavior Change Program: Transforming the science through a focus on mechanisms of change. Behaviour Research & Therapy, 101, 3–11.

    Article  Google Scholar 

  • Peters, J., & Büchel, C. (2010). Episodic future thinking reduces reward delay discounting through an enhancement of prefrontal-mediotemporal interactions. Neuron, 66(1), 138–148.

    Article  Google Scholar 

  • Petry, N. M., Bickel, W. K., & Arnett, M. (1998). Shortened time horizons and insensitivity to future consequences in heroin addicts. Addiction, 93(5), 729–738.

    Article  Google Scholar 

  • Rachlin, H. (2000). The science of self-control. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Riddle, M., & Science of Behavior Change Working Group. (2015). News from the NIH: Using an experimental medicine approach to facilitate translational research. Translational Behavioral Medicine, 5(4), 486–488.

    Article  Google Scholar 

  • Rösner, S., Hackl-Herrwerth, A., Leucht, S., Lehert, P., Vecchi, S., & Soyka, M. (2010a). Acamprosate for alcohol dependence. Cochrane Database of Systematic Reviews, 9, CD004332.

    Google Scholar 

  • Rösner, S., Hackl-Herrwerth, A., Leucht, S., Vecchi, S., Srisurapanont, M., & Soyka, M. (2010b). Opioid antagonists for alcohol dependence. Cochrane Database of Systematic Reviews, 12, CD001867.

    Google Scholar 

  • Rung, J. M., & Madden, G. J. (2018). Experimental reductions of delay discounting and impulsive choice: A systematic review and meta-analysis. Journal of Experimental Psychology General, 147(9), 1349–1381.

    Article  Google Scholar 

  • Schacter, D. L., Benoit, R. G., & Szpunar, K. K. (2017). Episodic future thinking: Mechanisms and functions. Current Opinion in Behavioral Sciences, 17, 41–50.

    Article  Google Scholar 

  • Smart, R. G. (1968). Future time perspectives in alcoholics and social drinkers. Journal of Abnormal Psychology, 73(1), 81–83.

    Article  Google Scholar 

  • Snider, S. E., Deshpande, H. U., Lisinski, J. M., Koffarnus, M. N., LaConte, S. M., & Bickel, W. K. (2018). Working memory training improves alcohol users’ episodic future thinking: A rate-dependent analysis. Biological Psychiatry: Cognitive Neuroscience & Neuroimaging, 3(2), 160–167.

    Google Scholar 

  • Snider, S. E., LaConte, S. M., & Bickel, W. K. (2016). Episodic future thinking: Expansion of the temporal window in individuals with alcohol dependence. Alcoholism, Clinical & Experimental Research, 40(7), 1558–1566.

    Article  Google Scholar 

  • Stein, J. S., Sze, Y. Y., Athamneh, L., Koffarnus, M. N., Epstein, L. H., & Bickel, W. K. (2017). Think fast: Rapid assessment of the effects of episodic future thinking on delay discounting in overweight/obese participants. Journal of Behavioral Medicine, 40(5), 832–838.

    Article  Google Scholar 

  • Stein, J. S., Wilson, A. G., Koffarnus, M. N., Daniel, T. O., Epstein, L. H., & Bickel, W. K. (2016). Unstuck in time: Episodic future thinking reduces delay discounting and cigarette smoking. Psychopharmacology, 233(21–22), 3771–3778.

    Article  Google Scholar 

  • Stouthard, M. E. A., & Peetsma, T. T. D. (1999). Future-time perspective: Analysis of a facet-designed questionnaire. European Journal of Psychological Assessment: Official Organ of the European Association of Psychological Assessment, 15(2), 99.

    Article  Google Scholar 

  • Substance Abuse & Mental Health Services Administration (SAMHSA). (2014). Results from the 2013 National Survey on Drug Use and Health: Summary of national findings. SAMHSA.gov. Retrieved from https://466www.samhsa.gov/data/sites/default/files/NSDUHresultsPDFWHTML2013/Web/NSDUHresults2013.pdf. Accessed 17 May 2017.

  • Thompson, T. (1984). The examining magistrate for nature: A retrospective review of Claude Bernard’s An Introduction to the Study of Experimental Medicine. Journal of the Experimental Analysis of Behavior, 41(2), 211–216.

    Article  Google Scholar 

  • Wesley, M. J., & Bickel, W. K. (2014). Remember the future II: Meta-analyses and functional overlap of working memory and delay discounting. Biological Psychiatry, 75(6), 435–448.

    Article  Google Scholar 

  • West, R., & Brown, J. (2013). Theory of addiction. Hoboken, NJ: John Wiley & Sons.

    Book  Google Scholar 

  • Zimbardo, P. G., & Boyd, J. N. (1999). Putting time in perspective: A valid, reliable individual-differences metric. In M. Stolarski, N. Fieulaine, & W. van Beek (Eds.), Time perspective theory: Review, research and application: Essays in honor of Philip G. Zimbardo (pp. 17–55). Springer International: Cham, Switzerland.

    Google Scholar 

Download references

Acknowledgements

This work was supported by R-01s AA021529 and DA034755.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Warren K. Bickel.

Ethics declarations

Conflict of Interest

Warren K. Bickel also reports being a principal in HealthSim, LLC and NotifiUs LLC as well as a general partner in Red 5 Group LLC. Warren K. Bickel and Sarah E. Snider report being Principals in BEAM Diagnostics, Inc. Alexandra M. Mellis has no biomedical financial interests or potential conflicts of interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bickel, W.K., Snider, S.E. & Mellis, A.M. Using an Experimental Medicine Approach to Identify Novel Determinants of Addiction. Perspect Behav Sci 42, 385–396 (2019). https://doi.org/10.1007/s40614-019-00215-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40614-019-00215-0

Keywords

Navigation