Appetitive Motivation and Regulatory Processes in Adolescent Ketamine Users

References

• Anderson, V. A., Anderson, P., Northam, E., Jacobs, R., & Catroppa, C. (2001). Development of executive functions through late childhood and adolescence in an Australian sample. Developmental Neuropsychology, 20(1), 385–406. https://doi.org/10.1207/S15326942DN2001_5
   PubMed Web of Science ®Google Scholar
• Barkley, R. A. (1997). Behavioral inhibition, sustained attention, and executive functions: Constructing a unifying theory of ADHD. Psychological Bulletin, 121(1), 65–94. https://doi.org/10.1037/0033-2909.121.1.65
   PubMed Web of Science ®Google Scholar
• Bechara, A., Damasio, A. R., Damasio, H., & Anderson, S. W. (1994). Insensitivity to future consequences following damage to human prefrontal cortex. Cognition, 50(1–3), 7–15.https://doi.org/10.1016/0010-0277(94)90018-3
   PubMed Web of Science ®Google Scholar
• Benthin, A., Slovic, P., & Severson, H. (1993). A psychometric study of adolescent risk perception. Journal of Adolescence, 16(2), 153–168. https://doi.org/10.1006/jado.1993.1014
   PubMed Web of Science ®Google Scholar
• Berman, A. H., Palmstierna, T., Kallmen, H., & Bergman, H. (2007). The self-report Drug Use Disorders Identification Test: Extended (DUDIT-E): Reliability, validity, and motivational index. Journal of Substance Abuse Treatment, 32(4), 357–369. https://doi.org/10.1016/j.jsat.2006.10.001
   PubMed Web of Science ®Google Scholar
• Bickel, W. K., Jarmolowicz, D. P., Mueller, E. T., Gatchalian, K. M., & McClure, S. M. (2012). Are executive function and impulsivity antipodes? A conceptual reconstruction with special reference to addiction. Psychopharmacology, 221, 361-387.
   Web of Science ®Google Scholar
• Chen, W. J. (2006). National survey of illegal drug use among adolescents. Ministry of Health and Welfare. https://www.grb.gov.tw/search/planDetail?id=1178956
   Google Scholar
• Chen, W. J., Ting, T. T., Chang, C. M., Liu, Y. C., & Chen, C. Y. (2013). Ketamine use among regular tobacco and alcohol users as revealed by respondent driven sampling in Taipei: Prevalence, expectancy, and users’ risky decision making. Journal of Food and Drug Analysis, 21(4), S102–S105. https://doi.org/10.1016/j.jfda.2013.09.044
   PubMed Web of Science ®Google Scholar
• Chen, Y. C., Wang, L. J., Lin, S. K., & Chen, C. K. (2015). Neurocognitive profiles of methamphetamine users: Comparison of those with or without concomitant ketamine use. Substance Use & Misuse, 50(14), 1778–1785. https://doi.org/10.3109/10826084.2015.1050110
   PubMed Web of Science ®Google Scholar
• Cousijn, J., Goudriaan, A. E., & Wiers, R. W. (2011). Reaching out towards cannabis: Approach-bias in heavy cannabis users predicts changes in cannabis use. Addiction (Abingdon, England), 106(9), 1667–1674. https://doi.org/10.1111/j.1360-0443.2011.03475.x
   PubMed Web of Science ®Google Scholar
• Dom, G., Sabbe, B., Hulstijn, W., & Van Den Brink, W. (2005). Substance use disorders and the orbitofrontal cortex: Systematic review of behavioural decision-making and neuroimaging studies. The British Journal of Psychiatry, 187(3), 209–220. https://doi.org/10.1192/bjp.187.3.209
   PubMed Web of Science ®Google Scholar
• Ersche, K. D., Williams, G. B., Robbins, T. W., & Bullmore, E. T. (2013). Meta-analysis of structural brain abnormalities associated with stimulant drug dependence and neuroimaging of addiction vulnerability and resilience. Current Opinion in Neurobiology, 23(4), 615–624. https://doi.org/10.1016/j.conb.2013.02.017
   PubMed Web of Science ®Google Scholar
• Goldman, M. S., Del Boca, F. K., & Darkes, J. (1999). Alcohol expectancy theory: The application of cognitive neuroscience. In K. E. Leonard & H. T. Blane (Eds.), Psychological theories of drinking and alcoholism (pp. 203–246). The Guilford Press.
   Google Scholar
• Greenwald, A. G., & Banaji, M. R. (1995). Implicit social cognition: Attitudes, self-esteem, and stereotypes. Psychological Review, 102(1), 4–27. https://doi.org/10.1037/0033-295x.102.1.4
   PubMed Web of Science ®Google Scholar
• Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. (1998). Measuring individual differences in implicit cognition: The implicit association test. Journal of Personality and Social Psychology, 74(6), 1464–1480. https://doi.org/10.1037/0022-3514.74.6.1464
   PubMed Web of Science ®Google Scholar
• Hofmann, W., Gschwendner, T., Friese, M., Wiers, R. W., & Schmitt, M. (2008). Working memory capacity and self-regulatory behavior: Toward an individual differences perspective on behavior determination by automatic versus controlled processes. Journal of Personality and Social Psychology, 95(4), 962–977. https://doi.org/10.1037/a0012705
   PubMed Web of Science ®Google Scholar
• Jarosz, A. F., & Wiley, J. (2014). What are the odds? A practical guide to computing and reporting Bayes factors. The Journal of Problem Solving, 7(1), 2–9. https://doi.org/10.7771/1932-6246.1167
   Google Scholar
• Ke, X., Ding, Y., Xu, K., He, H., Wang, D., Deng, X., Zhang, X., Zhou, Y., Zhou, C., Liu, Y., Ning, Y., & Fan, N. (2018). The profile of cognitive impairments in chronic ketamine users. Psychiatry Research, 266, 124–131. https://doi.org/10.1016/j.psychres.2018.05.050
   PubMed Web of Science ®Google Scholar
• Kouimtsidis, C., Stahl, D., West, R., & Drummond, C. (2014). Can outcome expectancies be measured across substances?Drugs and Alcohol Today, 14(4), 172–186. https://doi.org/10.1108/DAT-02-2014-0007
   Google Scholar
• Lee, K. H., Bowen, S., & Bai, A. F. (2011). Psychosocial outcomes of mindfulness-based relapse prevention in incarcerated substance abusers in Taiwan: A preliminary study. Journal of Substance Use, 16(6), 476–483. https://doi.org/10.3109/14659891.2010.505999
   Web of Science ®Google Scholar
• Lee, K. H., Yeh, Y. C., Yang, P. C., Lin, H. C., Wang, P. W., Liu, T. L., & Yen, C. F. (2012). Individual and peer factors associated with ketamine use among adolescents in Taiwan. European Child & Adolescent Psychiatry, 21(10), 553–558. https://doi.org/10.1007/s00787-012-0292-7
   PubMed Web of Science ®Google Scholar
• Logan, G. D., Schachar, R. J., & Tannock, R. (1997). Impulsivity and inhibitory control. Psychological Science, 8(1), 60–64. https://doi.org/10.1111/j.1467-9280.1997.tb00545.x
   Web of Science ®Google Scholar
• Luciana, M., Conklin, H. M., Hooper, C. J., & Yarger, R. S. (2005). The development of nonverbal working memory and executive control processes in adolescents. Child Development, 76(3), 697–712. https://doi.org/10.1111/j.1467-8624.2005.00872.x
   PubMed Web of Science ®Google Scholar
• Luna, B., & Sweeney, J. A. (2004). The emergence of collaborative brain function: FMRI studies of the development of response inhibition. Annals of the New York Academy of Sciences, 1021, 296–309. https://doi.org/10.1196/annals.1308.035
   PubMed Web of Science ®Google Scholar
• Metcalfe, J., & Mischel, W. (1999). A hot/cool-system analysis of delay of gratification: Dynamics of willpower. Psychological Review, 106(1), 3–19. https://doi.org/10.1037/0033-295x.106.1.3
   PubMed Web of Science ®Google Scholar
• Ministry of Health and Welfare. (2018). Annual report on drug abuse cases and tests in 2018. https://www.fda.gov.tw/tc/site.aspx?sid=10051
   Google Scholar
• Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: A latent variable analysis. Cognitive Psychology, 41(1), 49–100. https://doi.org/10.1006/cogp.1999.0734
   PubMed Web of Science ®Google Scholar
• Morgan, C. J., Muetzelfeldt, L., & Curran, H. V. (2009). Ketamine use, cognition and psychological wellbeing: A comparison of frequent, infrequent and ex-users with polydrug and non-using controls. Addiction (Abingdon, England), 104(1), 77–87. https://doi.org/10.1111/j.1360-0443.2008.02394.x
   PubMed Web of Science ®Google Scholar
• Morgan, C. J., Rees, H., & Curran, H. V. (2008). Attentional bias to incentive stimuli in frequent ketamine users. Psychological Medicine, 38(9), 1331–1340. https://doi.org/10.1017/S0033291707002450
   PubMed Web of Science ®Google Scholar
• Nigg, J. T., Wong, M. M., Martel, M. M., Jester, J. M., Puttler, L. I., Glass, J. M., Adams, K. M., Fitzgerald, H. E., & Zucker, R. A. (2006). Poor response inhibition as a predictor of problem drinking and illicit drug use in adolescents at risk for alcoholism and other substance use disorders. Journal of the American Academy of Child and Adolescent Psychiatry, 45(4), 468–475. https://doi.org/10.1097/01.chi.0000199028.76452.a9
   PubMed Web of Science ®Google Scholar
• Nutt, D. J., King, L. A., Phillips, L. D., & Independent Scientific Committee on Drugs. (2010). Drug harms in the UK: A multicriteria decision analysis. Lancet (London, England), 376(9752), 1558–1565. https://doi.org/10.1016/S0140-6736(10)61462-6
   PubMed Web of Science ®Google Scholar
• Olsen, V. V., Lugo, R. G., & Sütterlin, S. (2015). The somatic marker theory in the context of addiction: Contributions to understanding development and maintenance. Psychology Research and Behavior Management, 8, 187–200. https://doi.org/10.2147/PRBM.S68695
   PubMed Web of Science ®Google Scholar
• Ostafin, B. D., & Palfai, T. P. (2006). Compelled to consume: The Implicit Association Test and automatic alcohol motivation. Psychology of Addictive Behaviors, 20(3), 322–327. https://doi.org/10.1037/0893-164X.20.3.322
   PubMed Web of Science ®Google Scholar
• Ostafin, B. D., Palfai, T. P., & Wechsler, C. E. (2003). The accessibility of motivational tendencies toward alcohol: Approach, avoidance, and disinhibited drinking. Experimental and Clinical Psychopharmacology, 11(4), 294–301. https://doi.org/10.1037/1064-1297.11.4.294
   PubMed Web of Science ®Google Scholar
• Palfai, T., & Wood, M. D. (2001). Positive alcohol expectancies and drinking behavior: The influence of expectancy strength and memory accessibility. Psychology of Addictive Behaviors, 15(1), 60–67. https://doi.org/10.1037/0893-164x.15.1.60
   PubMed Web of Science ®Google Scholar
• Paulus, M. P., & Stewart, J. L. (2014). Interoception and drug addiction. Neuropharmacology, 76, 342–350. https://doi.org/10.1016/j.neuropharm.2013.07.002
   PubMed Web of Science ®Google Scholar
• Reich, R. R., Below, M. C., & Goldman, M. S. (2010). Explicit and implicit measures of expectancy and related alcohol cognitions: A meta-analytic comparison. Psychology of Addictive Behaviors, 24(1), 13–25. https://doi.org/10.1037/a0016556
   PubMed Web of Science ®Google Scholar
• Schafer, J., & Brown, S. A. (1991). Marijuana and cocaine effect expectancies and drug use patterns. Journal of Consulting and Clinical Psychology, 59(4), 558–565. https://doi.org/10.1037/0022-006X.59.4.558
   PubMed Web of Science ®Google Scholar
• Smith, J. L., Mattick, R. P., Jamadar, S. D., & Iredale, J. M. (2014). Deficits in behavioural inhibition in substance abuse and addiction: A meta-analysis. Drug and Alcohol Dependence, 145, 1–33. https://doi.org/10.1016/j.drugalcdep.2014.08.009
   PubMed Web of Science ®Google Scholar
• Taiwan Taichung District Court (2014). Pilot project of drug rehabilitation treatments for Taichung City adolescents. http://tcd.judicial.gov.tw/2014tcd/NewsType3_Content.aspx?id=88&page=1&type=13
   Google Scholar
• Van de Schoot, R., & Depaoli, S. (2014). Bayesian analyses: Where to start and what to report. European Health Psychologist, 16(2), 75–84.
   Google Scholar
• Verdejo-Garcia, A., Clark, L., & Dunn, B. D. (2012). The role of interoception in addiction: A critical review. Neuroscience and Biobehavioral Reviews, 36(8), 1857–1869. https://doi.org/10.1016/j.neubiorev.2012.05.007
   PubMed Web of Science ®Google Scholar
• Volkow, N. D., Wang, G.-J., Fowler, J. S., & Tomasi, D. (2012). Addiction circuitry in the human brain. Annual Review of Pharmacology and Toxicology, 52, 321–336. https://doi.org/10.1146/annurev-pharmtox-010611-134625
   PubMed Web of Science ®Google Scholar
• Wiers, R. W., Bartholow, B. D., van den Wildenberg, E., Thush, C., Engels, R. C., Sher, K. J., Grenard, J., Ames, S. L., & Stacy, A. W. (2007). Automatic and controlled processes and the development of addictive behaviors in adolescents: A review and a model. Pharmacology, Biochemistry and Behavior, 86(2), 263–283. https://doi.org/10.1016/j.pbb.2006.09.021
   PubMed Web of Science ®Google Scholar
• Wiers, R. W., Boelema, S. R., Nikolaou, K., & Gladwin, T. E. (2015). On the development of implicit and control processes in relation to substance use in adolescence. Current Addiction Reports, 2(2), 141–155. https://doi.org/10.1007/s40429-015-0053-z
   PubMedGoogle Scholar
• Wiers, R. W., Houben, K., Smulders, F. T. Y., Conrod, P. J., & Jones, B. T. (2006). To drink or not to drink: The role of automatic and controlled cognitive processes in the etiology of alcohol-related problems. In R. W. Wiers & A. W. Stacy (Eds.), Handbook of implicit cognition and addiction (pp. 339–361). Sage Publications, Inc. https://doi.org/10.4135/9781412976237.n22
   Google Scholar
• Wignall, N. D., & de Wit, H. (2011). Effects of nicotine on attention and inhibitory control in healthy nonsmokers. Experimental and Clinical Psychopharmacology, 19(3), 183–191. https://doi.org/10.1037/a0023292
   PubMed Web of Science ®Google Scholar
• Zelazo, P. D., Qu, L., Müller, U., Schneider, W., Schumann-Hengsteler, R., & Sodian, B. (2005). Hot and cool aspects of executive function: Relations in early development. In R. S.-H. W. Schneider & B. Sodian (Ed.), Young children’s cognitive development: Interrelationships among executive functioning, working memory, verbal ability, and theory of mind (pp. 71–93). Psychology Press.
   Google Scholar
• Zeng, H., Su, D., Jiang, X., Zhu, L., & Ye, H. (2016). The similarities and differences in impulsivity and cognitive ability among ketamine, methadone, and non-drug users. Psychiatry Research, 243, 109–114. https://doi.org/10.1016/j.psychres.2016.04.095
   PubMed Web of Science ®Google Scholar
• Zhang, C., Xu, Y., Zhang, B., Hao, W., & Tang, W. K. (2020). Cognitive impairment in chronic ketamine abusers. Psychiatry Research, 291, 113206. https://doi.org/10.1016/j.psychres.2020.113206
   PubMed Web of Science ®Google Scholar