Hostname: page-component-745bb68f8f-mzp66 Total loading time: 0 Render date: 2025-02-06T09:35:19.580Z Has data issue: false hasContentIssue false

Drugs as instruments from a developmental child and adolescent psychiatric perspective

Published online by Cambridge University Press:  10 November 2011

Tobias Banaschewski
Affiliation:
Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, 68159 Mannheim, Germany. tobias.banaschewski@zi-mannheim.dedorothea.blomeyer@zi-mannheim.dearlette.buchmann@zi-mannheim.deluise.poustka@zi-mannheim.demanfred.laucht@zi-mannheim.dewww.zi-mannheim.de
Dorothea Blomeyer
Affiliation:
Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, 68159 Mannheim, Germany. tobias.banaschewski@zi-mannheim.dedorothea.blomeyer@zi-mannheim.dearlette.buchmann@zi-mannheim.deluise.poustka@zi-mannheim.demanfred.laucht@zi-mannheim.dewww.zi-mannheim.de
Arlette F. Buchmann
Affiliation:
Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, 68159 Mannheim, Germany. tobias.banaschewski@zi-mannheim.dedorothea.blomeyer@zi-mannheim.dearlette.buchmann@zi-mannheim.deluise.poustka@zi-mannheim.demanfred.laucht@zi-mannheim.dewww.zi-mannheim.de
Luise Poustka
Affiliation:
Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, 68159 Mannheim, Germany. tobias.banaschewski@zi-mannheim.dedorothea.blomeyer@zi-mannheim.dearlette.buchmann@zi-mannheim.deluise.poustka@zi-mannheim.demanfred.laucht@zi-mannheim.dewww.zi-mannheim.de
Aribert Rothenberger
Affiliation:
Department of Child and Adolescent Psychiatry and Psychotherapy, University of Göttingen, 37075 Göttingen, Germany. arothen@gwdg.de
Manfred Laucht
Affiliation:
Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, 68159 Mannheim, Germany. tobias.banaschewski@zi-mannheim.dedorothea.blomeyer@zi-mannheim.dearlette.buchmann@zi-mannheim.deluise.poustka@zi-mannheim.demanfred.laucht@zi-mannheim.dewww.zi-mannheim.de

Abstract

Developmental, epidemiological, and neurobiological studies indicate that the adaptive and maladaptive functions, as well as immediate and long-term consequences of drug use, may vary by age. Early initiation seems to be associated with a reduced ability to use drugs purposely in a temporally stable, non-addictive manner. Prevention strategies should consider social environmental factors and aim to delay age at initiation.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2011

Müller & Schumann (M&S) provide a new framework for the understanding of non-addictive substance use, acknowledging the significance of a developmental perspective. It seems important to broaden and deepen this framework theory with respect to the specific characteristics of adolescent drug use to better understand the preconditions of adult non-addictive drug instrumentalization. Adolescence is a developmental period characterized by an increase in novelty-seeking, risk-taking, and emotional reactivity. Experimental and recreational drug use usually starts during this period, with the ages 10–16 being the high-risk period for substance use onset and the subsequent three years for transitions to regular use and abuse (Wittchen et al. Reference Wittchen, Behrendt, Hofler, Perkonigg, Lieb, Buhringer and Beesdo2008). However, early initiation of substance use has also consistently been shown to be associated with higher lifetime consumption, with more risky patterns of use, and with the earlier onset, longer duration, and higher severity of drug dependence later in life (Behrendt et al. Reference Behrendt, Wittchen, Hofler, Lieb and Beesdo2009; Grant & Dawson Reference Grant and Dawson1997). Various factors may account for this association.

Adolescence is characterized by a maturational and functional imbalance between already relatively mature limbic systems, implicated in motivational and emotional processing, and functionally still relatively immature prefrontal regions, mediating top-down modulation of affective and motivational processing by cognitive control processes. This imbalance may bias adolescents, particularly in emotionally salient situations, to seek immediate, rather than long-term gains, and it may explain their increase in risky decision making, their emotional reactivity, and their heightened responsiveness to rewards (Casey & Jones Reference Casey and Jones2010). Accordingly, behavioral observations indicating a higher salience of reward and increased susceptibility to the positive reinforcing properties of alcohol and other drugs are supplemented by studies demonstrating elevated neuronal responses of reward-related brain regions in anticipation of reward in adolescents compared to children and adults (van Leijenhorst et al. Reference van Leijenhorst, Zanolie, Van Meel, Westenberg, Rombouts and Crone2010).

Moreover, the adolescent brain appears to be more vulnerable to the neurotoxic effects of drugs, particularly in regions that mediate learning and memory processes (Brown & Tapert Reference Brown and Tapert2004). Repeated drug use may also more easily sensitize an already enhanced reward response, thereby inducing an increased incentive salience of drug-related stimuli (Robinson & Berridge Reference Robinson and Berridge2008). Such probable drug-induced changes may promote a faster development of addiction in adolescent- as compared with adult-onset users. For example, in animal studies, exposure to nicotine during adolescence, but not during adulthood, leads to significant changes in nicotine receptors in rodents and to an increased reinforcement value for nicotine later in life (Adriani et al. Reference Adriani, Spijker, Deroche-Gamonet, Laviola, Le Moal, Smit and Piazza2003). Prospective studies also indicate that drug-induced adolescent brain changes may directly interfere with the development of mature cognitive and behavioral functioning and may impede the adaptation to developmental challenges during adolescence.

Compared with that of adults, adolescent behavior is more strongly driven by social environment, particularly during initiation and early phases of drug use (Kendler et al. Reference Kendler, Schmitt, Aggen and Prescott2008). During adolescence, interactions with peers become increasingly important and exert a much stronger impact on decision making than they do in adulthood (Spear Reference Spear2002). The association between social influences of peers and adolescent substance use is well established. Peer effects account in particular for risky consumption patterns such as binge drinking impeding non-addictive controlled drug instrumentalization. Various studies indicate that the reward value of drugs of abuse may be affected by social context more strongly in adolescence than in adulthood (Doremus-Fitzwater et al. Reference Doremus-Fitzwater, Varlinskaya and Spear2010). Because coping abilities are still poorly developed during this developmental period, adolescents are at particular risk to “over-instrumentalize” drug use to manage stress related with significant life transitions during adolescence instead of acquiring mature coping skills (DeWit et al. Reference DeWit, Adlaf, Offord and Ogborne2000).

Thus, experimentation with drugs may rather support the use of substances as a maladaptive coping strategy to adapt to life challenges. For example, Buchmann et al. (Reference Buchmann, Schmid, Blomeyer, Zimmermann, Jennen-Steinmetz, Schmidt, Esser, Banaschewski, Mann and Laucht2010) provided evidence showing that the initiation of alcohol use in early adolescence promotes alcohol use with the objective of coping with unpleasant emotions during young adulthood. The experience of pleasant drug effects, such as relaxation and cheerfulness, may emerge as a fast-reinforcing strategy to deal with stress and to foster the continued and increased drug use, particularly when exposed to stress (Blomeyer et al. Reference Blomeyer, Buchmann, Schmid, Jennen-Steinmetz, Schmidt, Banaschewski and Laucht2011) and being at genetic risk (Blomeyer et al. Reference Blomeyer, Treutlein, Esser, Schmidt, Schumann and Laucht2008; Laucht et al. Reference Laucht, Treutlein, Schmid, Blomeyer, Becker, Buchmann, Schmidt, Esser, Jennen-Steinmetz, Rietschel, Zimmermann and Banaschewski2009). Accordingly, adverse life events during childhood increase the likelihood for early substance involvement and subsequent addiction (Andersen & Teicher Reference Andersen and Teicher2009).

The aforementioned restraints of a stable, goal-oriented drug instrumentalization apply particularly to adolescents with psychiatric disorders. Numerous studies have highlighted that individuals with externalizing disorders are at higher risk for both early initiation and subsequent addiction (Laucht et al. Reference Laucht, Hohm, Esser, Schmidt and Becker2007; Molina & Pelham Reference Molina and Pelham2003). Executive function and motivational deficits resulting in increased impulsivity and emotional reactivity might interfere with non-addictive drug use. Hence, high impulsivity was found to predict the switch to more habitual and compulsive drug use in rodents (Belin et al. Reference Belin, Mar, Dalley, Robbins and Everitt2008).

Regarding implications for drug policy, prevention programs for those at younger ages or those being particularly vulnerable should aim to delay age at initiation to prevent substance use disorders, with establishing youth protection laws being particularly relevant (Buchmann et al. Reference Buchmann, Schmid, Blomeyer, Becker, Treutlein, Zimmermann, Jennen-Steinmetz, Schmidt, Esser, Banaschewski, Rietschel, Schumann and Laucht2009). Programs should teach alternative and more adequate coping strategies and general life stabilization strategies. Moreover, programs should take into account the strong impact of social environmental factors on adolescent behavior. Hence, good parental monitoring associated with positive parental involvement has been found to be effective to prevent alcohol abuse (Ryan et al. Reference Ryan, Jorm and Lubman2010), particularly in genetically vulnerable subgroups (Laucht et al. Reference Laucht, Blomeyer, Buchmann, Treutlein, Schmidt, Esser, Jennen-Steinmetz, Rietschel, Zimmermann and Banaschewski2011). In addition, the parental model of responsible drug instrumentalization has proven to be essential for the offspring's orientation. Recently, an Australian expert group developed guidelines for parents on their influence to prevent their child's drinking (Ryan et al. Reference Ryan, Jorm, Kelly, Hart, Morgan and Lubman2011). In the course of development, peers become increasingly important for adolescent consumption patterns, forming the reference frame for the perception of “normal” amounts of alcohol used. Most adolescents are not aware of this mechanism and tend to overestimate their friends' drinking behavior while underestimating their own. Here, campaigns establishing responsible drinking norms in the target group are promising, if located in an adequate surrounding (Scribner et al. Reference Scribner, Theall, Mason, Simonsen, Schneider, Towvim and Dejong2011).

References

Adriani, W., Spijker, S., Deroche-Gamonet, V., Laviola, G., Le Moal, M., Smit, A. B. & Piazza, P. V. (2003) Evidence for enhanced neurobehavioral vulnerability to nicotine during periadolescence in rats. The Journal of Neuroscience 23(11):4712–16.Google Scholar
Andersen, S. L. & Teicher, M. H. (2009) Desperately driven and no brakes: Developmental stress exposure and subsequent risk for substance abuse. Neuroscience and Biobehavioral Reviews 33(4):516–24.Google Scholar
Behrendt, S., Wittchen, H. U., Hofler, M., Lieb, R. & Beesdo, K. (2009) Transitions from first substance use to substance use disorders in adolescence: Is early onset associated with a rapid escalation? Drug and Alcohol Dependence 99(1–3):6878.CrossRefGoogle ScholarPubMed
Belin, D., Mar, A. C., Dalley, J. W., Robbins, T. W. & Everitt, B. J. (2008) High impulsivity predicts the switch to compulsive cocaine-taking. Science 320:1352–55.Google Scholar
Blomeyer, D., Buchmann, A. F., Schmid, B., Jennen-Steinmetz, C., Schmidt, M. H., Banaschewski, T. & Laucht, M. (2011) Age at first drink moderates the impact of current stressful life events on drinking behavior in young adults. Alcoholism, Clinical and Experimental Research 35(6):1142–48.Google Scholar
Blomeyer, D., Treutlein, J., Esser, G., Schmidt, M. H., Schumann, G. & Laucht, M. (2008) Interaction between CRHR1 gene and stressful life events predicts adolescent heavy alcohol use. Biological Psychiatry 63(2):146–51.Google Scholar
Brown, S. A. & Tapert, S. F. (2004) Adolescence and the trajectory of alcohol use: Basic to clinical studies. Annals of the New York Academy of Sciences 1021:234–44.CrossRefGoogle ScholarPubMed
Buchmann, A. F., Schmid, B., Blomeyer, D., Becker, K., Treutlein, J., Zimmermann, U. S., Jennen-Steinmetz, C., Schmidt, M. H., Esser, G., Banaschewski, T., Rietschel, M., Schumann, G. & Laucht, M. (2009) Impact of age at first drink on vulnerability to alcohol-related problems: Testing the marker hypothesis in a prospective study of young adults. Journal of Psychiatric Research 43(15):1205–12.CrossRefGoogle Scholar
Buchmann, A. F., Schmid, B., Blomeyer, D., Zimmermann, U. S., Jennen-Steinmetz, C., Schmidt, M. H., Esser, G., Banaschewski, T., Mann, K. & Laucht, M. (2010) Drinking against unpleasant emotions: Possible outcome of early onset of alcohol use? Alcoholism, Clinical and Experimental Research 34(6):1052–57.Google Scholar
Casey, B. J. & Jones, R. M. (2010) Neurobiology of the adolescent brain and behavior: Implications for substance use disorders. Journal of the American Academy of Child and Adolescent Psychiatry 49(12):1189–201.Google ScholarPubMed
DeWit, D. J., Adlaf, E. M., Offord, D. R. & Ogborne, A. C. (2000) Age at first alcohol use: A risk factor for the development of alcohol disorders. American Journal of Psychiatry 157(5):745–50.Google Scholar
Doremus-Fitzwater, T. L., Varlinskaya, E. I. & Spear, L. P. (2010) Motivational systems in adolescence: Possible implications for age differences in substance abuse and other risk-taking behaviors. Brain and Cognition 72(1):114–23.CrossRefGoogle ScholarPubMed
Grant, B. F. & Dawson, D. A. (1997) Age at onset of alcohol use and its association with DSM-IV alcohol abuse and dependence: Results from the National Longitudinal Alcohol Epidemiologic Survey. Journal of Substance Abuse 9:103–10.Google Scholar
Kendler, K. S., Schmitt, E., Aggen, S. H. & Prescott, C. A. (2008) Genetic and environmental influences on alcohol, caffeine, cannabis, and nicotine use from early adolescence to middle adulthood. Archives of General Psychiatry 65(6):674–82.CrossRefGoogle ScholarPubMed
Laucht, M., Blomeyer, D., Buchmann, A. F., Treutlein, J., Schmidt, M. H., Esser, G., Jennen-Steinmetz, C., Rietschel, M., Zimmermann, U. S. & Banaschewski, T. (2011) Catechol-O-methyltransferaseVal 158 Met genotype, parenting practices and adolescent alcohol use: Testing the differential susceptibility hypothesis. Journal of Child Psychology and Psychiatry. Article first published online: 19 APR 2011. Doi: 10.1111/j.1469-7610.2011.02408.x. [Epub ahead of print]Google ScholarPubMed
Laucht, M., Hohm, E., Esser, G., Schmidt, M. H. & Becker, K. (2007) Association between ADHD and smoking in adolescence: Shared genetic, environmental and psychopathological factors. Journal of Neural Transmission 114(8):1097–104.CrossRefGoogle ScholarPubMed
Laucht, M., Treutlein, J., Schmid, B., Blomeyer, D., Becker, K., Buchmann, A. F., Schmidt, M. H., Esser, G., Jennen-Steinmetz, C., Rietschel, M., Zimmermann, U. S. & Banaschewski, T. (2009) Impact of psychosocial adversity on alcohol intake in young adults: Moderation by the LL genotype of the serotonin transporter polymorphism. Biological Psychiatry 66(2):102109.Google Scholar
Molina, B. S. & Pelham, W. E. (2003) Childhood predictors of adolescent substance use in a longitudinal study of children with ADHD. Journal of Abnormal Psychology 112(3):497507.Google Scholar
Robinson, T. E. & Berridge, K. C. (2008) Review. The incentive sensitization theory of addiction: Some current issues. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 363(1507):3137–46.CrossRefGoogle ScholarPubMed
Ryan, S. M., Jorm, A. F., Kelly, C. M., Hart, L. M., Morgan, A. J. & Lubman, D. I. (2011) Parenting strategies for reducing adolescent alcohol use: A Delphi consensus study. BMC. Public Health 11: 13 .CrossRefGoogle ScholarPubMed
Ryan, S. M., Jorm, A. F. & Lubman, D. I. (2010) Parenting factors associated with reduced adolescent alcohol use: A systematic review of longitudinal studies. Australian and New Zealand Journal of Psychiatry 44(9):774–83.Google Scholar
Scribner, R. A., Theall, K. P., Mason, K., Simonsen, N., Schneider, S. K., Towvim, L. G. & Dejong, W. (2011) Alcohol prevention on college campuses: The moderating effect of the alcohol environment on the effectiveness of social norms marketing campaigns. Journal of Studies on Alcohol and Drugs 72(2):232–39.Google Scholar
Spear, L. P. (2002) The adolescent brain and the college drinker: Biological basis of propensity to use and misuse alcohol. Journal of Studies on Alcohol Supplement 14:7181.Google Scholar
van Leijenhorst, L., Zanolie, K., Van Meel, C. S., Westenberg, P. M., Rombouts, S. A. & Crone, E. A. (2010) What motivates the adolescent? Brain regions mediating reward sensitivity across adolescence. Cerebral Cortex 20(1):6169.Google Scholar
Wittchen, H. U., Behrendt, S., Hofler, M., Perkonigg, A., Lieb, R., Buhringer, G. & Beesdo, K. (2008) What are the high risk periods for incident substance use and transitions to abuse and dependence? Implications for early intervention and prevention. International Journal of Methods in Psychiatric Research 17(Suppl. 1):S16S29.Google Scholar