Log in

Identifying Early Risk Factors for Addiction Later in Life: a Review of Prospective Longitudinal Studies

  • Adolescent / Young Adult Addiction (M Heitzeg, Section Editor)
  • Published:
Current Addiction Reports Aims and scope Submit manuscript

Abstract

Purpose of Review

To review prospective longitudinal studies that have identified risk factors for the development of substance use disorders in adulthood from individual differences during childhood and adolescence.

Recent Findings

Risk factors during childhood and adolescence that have been consistently linked to increased risk for addiction include externalizing and internalizing symptoms, early substance use, and environmental influences, such as parental behavior and exposure to traumatic experiences.

Summary

Since the etiology of substance use disorders is complex and likely is attributable to many causal pathways, systematic examination of the associations between risk factors will be necessary to understand the mixed findings in the existing literature, to determine which individuals should be targeted for prevention efforts, and to design interventions that address risk factors that are most likely to improve outcomes.

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

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Germany)

Instant access to the full article PDF.

Similar content being viewed by others

References

Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance

  1. U.S. Department of Health and Human Services. The health consequences of smoking-50 years of progress. A report of the surgeon general. In: U.S. Department of Health and Human Services CfDCaP, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health, editor. Atlanta; 2014.

  2. Centers for Disease Control and Prevention. Alcohol-attributable deaths and years of potential life lost — 11 states, 2006–2010. In: CDC, editor. Atlanta, GA; 2014.

  3. Xu X, Bishop EE, Kennedy SM, Simpson SA, Pechacek TF. Annual healthcare spending attributable to cigarette smoking: an update. Am J Prev Med. 2015;48(3):326–33. https://doi.org/10.1016/j.amepre.2014.10.012.

    Article  PubMed  Google Scholar 

  4. Centers for Disease Control and Prevention. Excessive drinking is draining the US economy. 2016.

  5. National Drug Intelligence Center. National Drug Threat Assessment. In: Justice Do, editor. Washington, DC: United States; 2011.

  6. Birnbaum HG, White AG, Schiller M, Waldman T, Cleveland JM, Roland CL. Societal costs of prescription opioid abuse, dependence, and misuse in the United States. Pain Med. 2011;12(4):657–67. https://doi.org/10.1111/j.1526-4637.2011.01075.x.

    Article  PubMed  Google Scholar 

  7. Florence CS, Zhou C, Luo F, Xu L. The economic burden of prescription opioid overdose, abuse, and dependence in the United States, 2013. Med Care. 2016;54(10):901–6. https://doi.org/10.1097/MLR.0000000000000625.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Dennis ML, Scott CK, Funk R, Foss MA. The duration and correlates of addiction and treatment careers. J Subst Abus Treat. 2005;28(Suppl 1):S51–62. https://doi.org/10.1016/j.jsat.2004.10.013.

    Article  Google Scholar 

  9. De Soto CB, O’Donnell WE, De Soto JL. Long-term recovery in alcoholics. Alcohol Clin Exp Res. 1989;13(5):693–7.

    Article  PubMed  Google Scholar 

  10. Center for Behavioral Health Statistics and Quality. 2015 National Survey on Drug Use and Health. 2015.

  11. Grant BF, Goldstein RB, Saha TD, Chou SP, Jung J, Zhang H, et al. Epidemiology of DSM-5 alcohol use disorder: results from the National Epidemiologic Survey on Alcohol and Related Conditions III. JAMA Psychiatry. 2015;72(8):757–66. https://doi.org/10.1001/jamapsychiatry.2015.0584.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Grant BF, Saha TD, Ruan WJ, Goldstein RB, Chou SP, Jung J, et al. Epidemiology of DSM-5 drug use disorder: results from the National Epidemiologic Survey on Alcohol and Related Conditions-III. JAMA Psychiatry. 2016;73(1):39–47. https://doi.org/10.1001/jamapsychiatry.2015.2132.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Chou SP, Goldstein RB, Smith SM, Huang B, Ruan WJ, Zhang H, et al. The epidemiology of DSM-5 nicotine use disorder: results from the National Epidemiologic Survey on Alcohol and Related Conditions-III. J Clin Psychiatry. 2016;77(10):1404–12. https://doi.org/10.4088/JCP.15m10114.

    Article  PubMed  PubMed Central  Google Scholar 

  14. •• Groenman AP, Janssen TW, Oosterlaan J. Childhood psychiatric disorders as risk factor for subsequent substance abuse: a meta-analysis. J Am Acad Child Adolesc Psychiatry. 2017;56(7):556–69. A meta-analysis that examines the evidence that childhood/adolescent psychiatric disorders are risk factors for adult substance use disorders.

    Article  PubMed  Google Scholar 

  15. Buckner JD, Schmidt NB, Lang AR, Small JW, Schlauch RC, Lewinsohn PM. Specificity of social anxiety disorder as a risk factor for alcohol and cannabis dependence. J Psychiatr Res. 2008;42(3):230–9. https://doi.org/10.1016/j.jpsychires.2007.01.002.

    Article  PubMed  Google Scholar 

  16. Buckner JD, Turner RJ. Social anxiety disorder as a risk factor for alcohol use disorders: a prospective examination of parental and peer influences. Drug Alcohol Depend. 2009;100(1–2):128–37. https://doi.org/10.1016/j.drugalcdep.2008.09.018.

    Article  PubMed  Google Scholar 

  17. Englund MM, Egeland B, Oliva EM, Collins WA. Childhood and adolescent predictors of heavy drinking and alcohol use disorders in early adulthood: a longitudinal developmental analysis. Addiction. 2008;103:23–35.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Hayatbakhsh MR, McGee TR, Bor W, Najman JM, Jamrozik K, Mamun AA. Child and adolescent externalizing behavior and cannabis use disorders in early adulthood: an Australian prospective birth cohort study. Addict Behav. 2008;33(3):422–38. https://doi.org/10.1016/j.addbeh.2007.10.004.

    Article  PubMed  Google Scholar 

  19. • Mills R, Kisely S, Alati R, Strathearn L, Najman JM. Child maltreatment and cannabis use in young adulthood: a birth cohort study. Addiction. 2017;112(3):494–501. https://doi.org/10.1111/add.13634. Although the focus of this study is on childhood maltreatment, statistical analyses control for potential confounds and report the significance of especially important additional covariates (e.g., externalizing behavior and personal substance use).

    Article  PubMed  Google Scholar 

  20. Defoe IN, Khurana A, Betancourt LM, Hurt H, Romer D. Disentangling longitudinal relations between youth cannabis use, peer cannabis use, and conduct problems: developmental cascading links to cannabis use disorder. Addiction. 2019;114(3):485–93. https://doi.org/10.1111/add.14456.

    Article  PubMed  Google Scholar 

  21. Fergusson DM, Horwood LJ, Boden JM, Jenkin G. Childhood social disadvantage and smoking in adulthood: results of a 25-year longitudinal study. Addiction. 2007;102(3):475–82. https://doi.org/10.1111/j.1360-0443.2006.01729.x.

    Article  PubMed  Google Scholar 

  22. Pardini D, White HR, Stouthamer-Loeber M. Early adolescent psychopathology as a predictor of alcohol use disorders by young adulthood. Drug Alcohol Depend. 2007;88(Suppl 1):S38–49. https://doi.org/10.1016/j.drugalcdep.2006.12.014.

    Article  PubMed  PubMed Central  Google Scholar 

  23. **ault JB, Cote SM, Galera C, Genolini C, Falissard B, Vitaro F, et al. Childhood trajectories of inattention, hyperactivity and oppositional behaviors and prediction of substance abuse/dependence: a 15-year longitudinal population-based study. Mol Psychiatry. 2013;18(7):806–12. https://doi.org/10.1038/mp.2012.87.

    Article  PubMed  Google Scholar 

  24. Hayatbakhsh MR, Najman JM, Jamrozik K, Al Mamun A, Bor W, Alati R. Adolescent problem behaviours predicting DSM-IV diagnoses of multiple substance use disorder. Findings of a prospective birth cohort study. Soc Psychiatry Psychiatr Epidemiol. 2008;43(5):356–63. https://doi.org/10.1007/s00127-008-0325-1.

    Article  PubMed  Google Scholar 

  25. Guo J, Hawkins JD, Hill KG, Abbott RD. Childhood and adolescent predictors of alcohol abuse and dependence in young adulthood. J Stud Alcohol. 2001;62(6):754–62.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. D’Amico EJ, Ellickson PL, Collins RL, Martino S, Klein DJ. Processes linking adolescent problems to substance-use problems in late young adulthood. J Stud Alcohol. 2005;66(6):766–75.

    Article  PubMed  Google Scholar 

  27. Bonomo YA, Bowes G, Coffey C, Carlin JB, Patton GC. Teenage drinking and the onset of alcohol dependence: a cohort study over seven years. Addiction. 2004;99(12):1520–8. https://doi.org/10.1111/j.1360-0443.2004.00846.x.

    Article  PubMed  Google Scholar 

  28. Foulds JA, Boden JM, Newton-Howes GM, Mulder RT, Horwood LJ. The role of novelty seeking as a predictor of substance use disorder outcomes in early adulthood. Addiction. 2017;112(9):1629–37. https://doi.org/10.1111/add.13838.

    Article  PubMed  Google Scholar 

  29. Palmer RH, Knopik VS, Rhee SH, Hopfer CJ, Corley RC, Young SE, et al. Prospective effects of adolescent indicators of behavioral disinhibition on DSM-IV alcohol, tobacco, and illicit drug dependence in young adulthood. Addict Behav. 2013;38(9):2415–21. https://doi.org/10.1016/j.addbeh.2013.03.021.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Mezzich AC, Tarter RE, Kirisci L, Feske U, Day BS, Gao Z. Reciprocal influence of parent discipline and child’s behavior on risk for substance use disorder: a nine-year prospective study. Am J Drug Alcohol Abuse. 2007;33(6):851–67. https://doi.org/10.1080/00952990701653842.

    Article  PubMed  Google Scholar 

  31. Tarter RE, Kirisci L, Habeych M, Reynolds M, Vanyukov M. Neurobehavior disinhibition in childhood predisposes boys to substance use disorder by young adulthood: direct and mediated etiologic pathways. Drug Alcohol Depend. 2004;73(2):121–32.

    Article  PubMed  Google Scholar 

  32. Fergusson DM, Horwood LJ, Ridder EM. Conduct and attentional problems in childhood and adolescence and later substance use, abuse and dependence: results of a 25-year longitudinal study. Drug Alcohol Depend. 2007;88(Suppl 1):S14–26. https://doi.org/10.1016/j.drugalcdep.2006.12.011.

    Article  PubMed  Google Scholar 

  33. Huurre T, Lintonen T, Kaprio J, Pelkonen M, Marttunen M, Aro H. Adolescent risk factors for excessive alcohol use at age 32 years. A 16-year prospective follow-up study. Soc Psychiatry Psychiatr Epidemiol. 2010;45(1):125–34. https://doi.org/10.1007/s00127-009-0048-y.

    Article  PubMed  Google Scholar 

  34. Jester JM, Glass JM, Bohnert KM, Nigg JT, Wong MM, Zucker RA. Child and adolescent predictors of smoking involvement in emerging adulthood. Health Psychol. 2019;38(2):133–42. https://doi.org/10.1037/hea0000703.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Bardone AM, Moffitt TE, Caspi A, Dickson N, Stanton WR, Silva PA. Adult physical health outcomes of adolescent girls with conduct disorder, depression, and anxiety. J Am Acad Child Adolesc Psychiatry. 1998;37(6):594–601. https://doi.org/10.1097/00004583-199806000-00009.

    Article  CAS  PubMed  Google Scholar 

  36. Newton-Howes G, Boden JM. Relation between age of first drinking and mental health and alcohol and drug disorders in adulthood: evidence from a 35-year cohort study. Addiction. 2016;111(4):637–44. https://doi.org/10.1111/add.13230.

    Article  CAS  PubMed  Google Scholar 

  37. King KM, Chassin L. A prospective study of the effects of age of initiation of alcohol and drug use on young adult substance dependence. J Stud Alcohol Drugs. 2007;68(2):256–65.

    Article  PubMed  Google Scholar 

  38. Newton-Howes G, Cook S, Martin G, Foulds JA, Boden JM. Comparison of age of first drink and age of first intoxication as predictors of substance use and mental health problems in adulthood. Drug Alcohol Depend. 2019;194:238–43. https://doi.org/10.1016/j.drugalcdep.2018.10.012.

    Article  PubMed  Google Scholar 

  39. Guo J, Collins LM, Hill KG, Hawkins JD. Developmental pathways to alcohol abuse and dependence in young adulthood. J Stud Alcohol. 2000;61(6):799–808.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Prince van Leeuwen A, Creemers HE, Verhulst FC, Vollebergh WA, Ormel J, van Oort F, et al. Legal substance use and the development of a DSM-IV cannabis use disorder during adolescence: the TRAILS study. Addiction. 2014;109(2):303–11. https://doi.org/10.1111/add.12346.

    Article  PubMed  Google Scholar 

  41. Swift W, Coffey C, Carlin JB, Degenhardt L, Patton GC. Adolescent cannabis users at 24 years: trajectories to regular weekly use and dependence in young adulthood. Addiction. 2008;103(8):1361–70. https://doi.org/10.1111/j.1360-0443.2008.02246.x.

    Article  PubMed  Google Scholar 

  42. Brook JS, Balka EB, Ning Y, Brook DW. Trajectories of cigarette smoking among African Americans and Puerto Ricans from adolescence to young adulthood: associations with dependence on alcohol and illegal drugs. Am J Addict. 2007;16(3):195–201. https://doi.org/10.1080/10550490701375244.

    Article  PubMed  Google Scholar 

  43. Strong C, Juon HS, Ensminger ME. Effect of adolescent cigarette smoking on adulthood substance use and abuse: the mediating role of educational attainment. Subst Use Misuse. 2016;51(2):141–54. https://doi.org/10.3109/10826084.2015.1073323.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Gil AG, Wagner EF, Tubman JG. Associations between early-adolescent substance use and subsequent young-adult substance use disorders and psychiatric disorders among a multiethnic male sample in South Florida. Am J Public Health. 2004;94(9):1603–9.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Knop J, Penick EC, Nickel EJ, Mednick SA, Jensen P, Manzardo AM, et al. Paternal alcoholism predicts the occurrence but not the remission of alcoholic drinking: a 40-year follow-up. Acta Psychiatr Scand. 2007;116(5):386–93. https://doi.org/10.1111/j.1600-0447.2007.01015.x.

    Article  CAS  PubMed  Google Scholar 

  46. Kosty DB, Farmer RF, Seeley JR, Gau JM, Duncan SC, Lewinsohn PM. Parental transmission of risk for cannabis use disorders to offspring. Addiction. 2015;110(7):1110–7. https://doi.org/10.1111/add.12914.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Chassin L, Pitts SC, DeLucia C, Todd M. A longitudinal study of children of alcoholics: predicting young adult substance use disorders, anxiety, and depression. J Abnorm Psychol. 1999;108(1):106–19.

    Article  CAS  PubMed  Google Scholar 

  48. Newlin DB, Miles DR, van den Bree MB, Gupman AE, Pickens RW. Environmental transmission of DSM-IV substance use disorders in adoptive and step families. Alcohol Clin Exp Res. 2000;24(12):1785–94.

    Article  CAS  PubMed  Google Scholar 

  49. •• Yap MBH, Cheong TWK, Zaravinos-Tsakos F, Lubman DI, Jorm AF. Modifiable parenting factors associated with adolescent alcohol misuse: a systematic review and meta-analysis of longitudinal studies. Addiction. 2017;112(7):1142–62. https://doi.org/10.1111/add.13785. This meta-analysis aggregates findings from studies examining how parenting behaviors influence alcohol-related problems in adulthood.

    Article  PubMed  Google Scholar 

  50. Gil AG, Vega WA, Turner RJ. Early and mid-adolescence risk factors for later substance abuse by African Americans and European Americans. Public Health Rep. 2002;117(Suppl 1):S15–29.

    PubMed  PubMed Central  Google Scholar 

  51. Van Ryzin MJ, Dishion TJ. Adolescent deviant peer clustering as an amplifying mechanism underlying the progression from early substance use to late adolescent dependence. J Child Psychol Psychiatry. 2014;55(10):1153–61. https://doi.org/10.1111/jcpp.12211.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Poulton R, Caspi A, Milne BJ, Thomson WM, Taylor A, Sears MR, et al. Association between children’s experience of socioeconomic disadvantage and adult health: a life-course study. Lancet. 2002;360(9346):1640–5. https://doi.org/10.1016/S0140-6736(02)11602-3.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Abajobir AA, Najman JM, Williams G, Strathearn L, Clavarino A, Kisely S. Substantiated childhood maltreatment and young adulthood cannabis use disorders: a pre-birth cohort study. Psychiatry Res. 2017;256:21–31. https://doi.org/10.1016/j.psychres.2017.06.017.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Newbury JB, Arseneault L, Moffitt TE, Caspi A, Danese A, Baldwin JR, et al. Measuring childhood maltreatment to predict early-adult psychopathology: comparison of prospective informant-reports and retrospective self-reports. J Psychiatr Res. 2018;96:57–64. https://doi.org/10.1016/j.jpsychires.2017.09.020.

    Article  PubMed  PubMed Central  Google Scholar 

  55. O’Brien JW, Hill SY. Neural predictors of substance use disorders in Young adulthood. Psychiatry Res Neuroimaging. 2017;268:22–6. https://doi.org/10.1016/j.pscychresns.2017.08.006.

    Article  PubMed  Google Scholar 

  56. Cheetham A, Allen NB, Whittle S, Simmons J, Yucel M, Lubman DI. Orbitofrontal cortex volume and effortful control as prospective risk factors for substance use disorder in adolescence. Eur Addict Res. 2017;23(1):37–44. https://doi.org/10.1159/000452159.

    Article  PubMed  Google Scholar 

  57. Hill SY, Steinhauer SR, Locke-Wellman J, Ulrich R. Childhood risk factors for young adult substance dependence outcome in offspring from multiplex alcohol dependence families: a prospective study. Biol Psychiatry. 2009;66(8):750–7. https://doi.org/10.1016/j.biopsych.2009.05.030.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Guttmannova K, Bailey JA, Hill KG, Lee JO, Hawkins JD, Woods ML, et al. Sensitive periods for adolescent alcohol use initiation: predicting the lifetime occurrence and chronicity of alcohol problems in adulthood. J Stud Alcohol Drugs. 2011;72(2):221–31.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Hancock DB, Markunas CA, Bierut LJ, Johnson EO. Human genetics of addiction: new insights and future directions. Curr Psychiatry Rep. 2018;20(2):8. https://doi.org/10.1007/s11920-018-0873-3.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Maggs JL, Patrick ME, Feinstein L. Childhood and adolescent predictors of alcohol use and problems in adolescence and adulthood in the National Child Development Study. Addiction. 2008;103(Suppl 1):7–22. https://doi.org/10.1111/j.1360-0443.2008.02173.x.

    Article  PubMed  Google Scholar 

  61. LeTendre ML, Reed MB. The effect of adverse childhood experience on clinical diagnosis of a substance use disorder: results of a nationally representative study. Subst Use Misuse. 2017;52(6):689–97. https://doi.org/10.1080/10826084.2016.1253746.

    Article  PubMed  PubMed Central  Google Scholar 

  62. Widom CS, Weiler BL, Cottler LB. Childhood victimization and drug abuse: a comparison of prospective and retrospective findings. J Consult Clin Psychol. 1999;67(6):867–80.

    Article  CAS  PubMed  Google Scholar 

  63. Silverman AB, Reinherz HZ, Giaconia RM. The long-term sequelae of child and adolescent abuse: a longitudinal community study. Child Abuse Negl. 1996;20(8):709–23.

    Article  CAS  PubMed  Google Scholar 

  64. Squeglia LM, Gray KM. Alcohol and drug use and the develo** brain. Curr Psychiatry Rep. 2016;18(5):46. https://doi.org/10.1007/s11920-016-0689-y.

    Article  PubMed  PubMed Central  Google Scholar 

  65. •• Kraemer HC, Stice E, Kazdin A, Offord D, Kupfer D. How do risk factors work together? Mediators, moderators, and independent, overlap**, and proxy risk factors. Am J Psychiatry. 2001;158(6):848–56. https://doi.org/10.1176/appi.ajp.158.6.848. This paper proposes a method for systematically evaluating relationships between risk factors and classifying them into different categories to help identify individuals at high-risk for develo** psychiatric disorders and in need of preventative interventions.

    Article  CAS  PubMed  Google Scholar 

  66. Whelan R, Watts R, Orr CA, Althoff RR, Artiges E, Banaschewski T, et al. Neuropsychosocial profiles of current and future adolescent alcohol misusers. Nature. 2014;512(7513):185–9. https://doi.org/10.1038/nature13402.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  67. Squeglia LM, Ball TM, Jacobus J, Brumback T, McKenna BS, Nguyen-Louie TT, et al. Neural predictors of initiating alcohol use during adolescence. Am J Psychiatry. 2017;174(2):172–85. https://doi.org/10.1176/appi.ajp.2016.15121587.

    Article  PubMed  Google Scholar 

  68. Meier MH, Hall W, Caspi A, Belsky DW, Cerda M, Harrington HL, et al. Which adolescents develop persistent substance dependence in adulthood? Using population-representative longitudinal data to inform universal risk assessment. Psychol Med. 2016;46(4):877–89. https://doi.org/10.1017/S0033291715002482.

    Article  CAS  PubMed  Google Scholar 

  69. Kirisci L, Tarter R, Mezzich A, Ridenour T, Reynolds M, Vanyukov M. Prediction of cannabis use disorder between boyhood and young adulthood: clarifying the phenotype and environtype. Am J Addict. 2009;18(1):36–47. https://doi.org/10.1080/10550490802408829.

    Article  PubMed  PubMed Central  Google Scholar 

  70. Groenewald CB, Law EF, Fisher E, Beals-Erickson SE, Palermo TM. Associations between adolescent chronic pain and prescription opioid misuse in adulthood. J Pain. 2019;20(1):28–37. https://doi.org/10.1016/j.jpain.2018.07.007.

    Article  PubMed  Google Scholar 

  71. Centers for Disease Control and Prevention, National Center for Health Statistics. Multiple causes of death 1999-2017 on CDC WONDER online database.

  72. Jones SA, Morales AM, Lavine JB, Nagel BJ. Convergent neurobiological predictors of emergent psychopathology during adolescence. Birth Defects Res. 2017;109(20):1613–22. https://doi.org/10.1002/bdr2.1176.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bonnie J. Nagel.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflict of interest.

Human and Animal Rights and Informed Consent

This article does not contain any studies with human or animal subjects performed by any of the authors.

Additional information

Publisher's Note

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

This article is part of the Topical Collection on Adolescent/Young Adult Addiction

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Morales, A.M., Jones, S.A., Kliamovich, D. et al. Identifying Early Risk Factors for Addiction Later in Life: a Review of Prospective Longitudinal Studies. Curr Addict Rep 7, 89–98 (2020). https://doi.org/10.1007/s40429-019-00282-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40429-019-00282-y

Keywords

Navigation