Cited by 205Substance Abuse Treatment and OutcomesNeurotransmitter Receptor Influence on BehaviorGambling Behavior and Treatments

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Liability to substance use disorders: 1. Common mechanisms and manifestations

Vanyukov, Michael M, Tarter, Ralph E, Kirisci, Levent, Kirillova, Galina P, Maher, Brion S, Clark, Duncan B·2003·Neuroscience & Biobehavioral Reviews

DOI 10.1016/j.neubiorev.2003.08.002

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Abstract

Variation in the risk for and severity of substance use disorders (SUD) in the population is caused by multiple organismic (genetic, biochemical, psychological) and environmental factors. Whereas drug- or drug-class-specific liability mechanisms exist, a substantial proportion of variance in the risk is shared between specific liabilities, reflecting mechanisms that determine common liability to SUD. Data from epidemiologic, clinical, psychological, physiological, biochemical, and family and genetic studies reviewed in this paper indicate the existence of mechanisms and characteristics shared in common by liabilities to SUD related to different drugs. These mechanisms can be conceptualized as common liability to SUD, a latent trait accounting for a substantial portion of variation in SUD risk and severity and determined by all factors influencing the probability of SUD development. An accompanying paper describes an approach to the quantitative estimation of this trait.

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BackgroundMethodResultInfluential
Adolescents' self-defined tobacco use status, marijuana use, and tobacco dependence
Okoli, C. T. C., Richardson, C. G., Ratner, P. A., & Johnson, J. L. (2008) · Addictive Behaviors · doi:10.1016/j.addbeh.2008.05.008 · Cited by 52
The Genetically Informed Neurobiology of Addiction (GINA) model
Bogdan, R., Hatoum, A. S., Johnson, E. C., & Arpana Agrawal, A. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00656-8 · Cited by 56
The AVPR1A Gene and Substance Use Disorders: Association, Replication, and Functional Evidence
Maher, B. S., Vladimirov, V. I., Latendresse, S. J., Thiselton, D. L., McNamee, R. L., Kang, M., Bigdeli, T. B., Chen, X., Riley, B. P., Hettema, J. M., et al. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.02.023 · Cited by 53
“It has also been noted (4) that illicit drug abuse, a common behavioral attribute in deviant social groups, may be part of the repertoire of affiliative and reproductive behavior consistent with Zahavi’s handicap principle (47), where potentially socially disabling (e.”
Application of item response theory to quantify substance use disorder severity
Kirisci, L., Tarter, R. E., Vanyukov, M. M., Martin, C., Mezzich, A. C., & Brown, S. (2006) · Addictive Behaviors · doi:10.1016/j.addbeh.2006.03.033 · Cited by 48
Delay discounting differentiates pre-adolescents at high and low risk for substance use disorders based on family history
Dougherty, D. M., Charles, N. E., Mathias, C. W., Ryan, S. R., Olvera, R. L., Liang, Y., & Acheson, A. (2014) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2014.07.012 · Cited by 53
“The delay discounting outcomes of this study are supportive of the Common Liability Model of substance use risk, which proposes children enter adolescence with varying levels of predisposition, or liability, for behavioral undercontrol (Iacono et al., 2008; Vanyukov et al., 2009, 2003).”
Result
The Illustration-Based Assessment of Liability and EXposure to Substance use and Antisocial behavior © for Children
Ridenour, T. A., Clark, D. B., & Cottler, L. B. (2009) · The American Journal of Drug and Alcohol Abuse · doi:10.1080/00952990902998715 · Cited by 47
THC and CBD: Villain versus Hero? Insights into Adolescent Exposure
Pintori, N., Caria, F., Luca, M. A. D., & Miliano, C. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24065251 · Cited by 50
Heritability of P300 amplitude development from adolescence to adulthood
Carlson, S. R., & Iacono, W. G. (2006) · Psychophysiology · doi:10.1111/j.1469-8986.2006.00450.x · Cited by 48
Menthol tobacco use is correlated with mental health symptoms in a national sample of young adults: implications for future health risks and policy recommendations
Cohn, A. M., Johnson, A. L., Hair, E. C., Rath, J. M., & Villanti, A. C. (2016) · Tobacco Induced Diseases · doi:10.1186/s12971-015-0066-3 · Cited by 45
“This may be because menthol flavoring is offered in a variety of different tobacco products [43] and vulnerable young adults are likely to try many substances of abuse, not just cigarettes [72].”
Background
Patterns of the co‐use of alcohol, marijuana, and emerging tobacco products in a national sample of young adults
Cohn, A. M., Johnson, A. L., Rath, J. M., & Villanti, A. C. (2016) · American Journal on Addictions · doi:10.1111/ajad.12456 · Cited by 44
Assessment of risk for substance use disorder consequent to consumption of illegal drugs: Psychometric validation of the neurobehavior disinhibition trait.
Mezzich, A. C., Tarter, R. E., Feske, U., Kirisci, L., McNamee, R. L., & Day, B. (2007) · Psychology of Addictive Behaviors · doi:10.1037/0893-164x.21.4.508 · Cited by 43
Common liability to drug addictions: Theory, research, practice
Vanyukov, M. M., & Ridenour, T. A. (2012) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2012.01.005 · Cited by 42
“This theory is based on (a) a well established human genetics concept of liability to disorder (Falconer, 1965) and (b) on the established commonality of liability mechanisms across abusable drugs (rev. in Vanyukov et al., 2003).”
Method
Identifying childhood characteristics that underlie premorbid risk for substance use disorders: Socialization and boldness
Hicks, B. M., Iacono, W. G., & McGue, M. K. (2013) · Development and Psychopathology · doi:10.1017/s0954579413000862 · Cited by 43
Testosterone Levels and Sexual Maturation Predict Substance Use Disorders in Adolescent Boys: A Prospective Study
Reynolds, M., Tarter, R. E., Kirisci, L., Kirillova, G. P., Brown, S., Clark, D. B., & Gavaler, J. S. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.07.008 · Cited by 39
Identification of novel risk loci with shared effects on alcoholism, heroin, and methamphetamine dependence
Sun, Y., Chang, S., Liu, Z., Zhang, L., Wang, F., Yue, W., Sun, H., Ni, Z., Chang, X., Zhang, Y., et al. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0497-y · Cited by 39
Does the “gateway” sequence increase prediction of cannabis use disorder development beyond deviant socialization? Implications for prevention practice and policy
Tarter, R. E., Kirisci, L., Mezzich, A. C., Ridenour, T. A., Fishbein, D. H., Horner, M. S., Reynolds, M., Kirillova, G. P., & Vanyukov, M. M. (2012) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2012.01.015 · Cited by 35
“The rationale for and method of deriving the TLI have been previously described (Kirisci et al., 2009; Vanyukov et al., 2003a,b; Vanyukov et al., 2009).”
BackgroundMethod
Could a continuous measure of individual transmissible risk be useful in clinical assessment of substance use disorder? Findings from the National Epidemiological Survey on Alcohol and Related Conditions
Ridenour, T. A., Kirisci, L., Tarter, R. E., & Vanyukov, M. M. (2011) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2011.05.018 · Cited by 33
“A measure of transmissible SUD risk that is comprehensive must implicitly capture manifold paths of risk transmission between generations (Rice et al., 1980; Vanyukov et al., 2003b).”
BackgroundMethod
Changes in Drug Use During Young Adulthood: The Effects of Parent Alcoholism and Transition Into Marriage.
Flora, D. B., & Chassin, L. (2005) · Psychology of Addictive Behaviors · doi:10.1037/0893-164x.19.4.352 · Cited by 34
“Other studies have also suggested that a broad and heritable diathesis toward behavioral undercontrol is associated both with comorbidity of alcohol and drug dependence (Kendler, Prescott, Myers, & Neale, 2003; Krueger et al., 2002; Vanyukov et al., 2003 ) and with parental alcoholism (Iacono, Carlson, Taylor, Elkins,…”
Background
A Longitudinal Examination of the Relationships between Childhood Maltreatment and Patterns of Adolescent Substance Use among High‐Risk Adolescents
Shin, S. H. (2012) · American Journal on Addictions · doi:10.1111/j.1521-0391.2012.00255.x · Cited by 31
Explaining Excessive Weight Gain during Early Recovery from Addiction
Gottfredson, N. C., & Sokol, R. L. (2018) · Substance Use & Misuse · doi:10.1080/10826084.2018.1536722 · Cited by 30
“…& Volkow, 2006), high impulsivity (Crews & Boettiger, 2009; Garavan, 2011), greater food addiction symptoms (Volkow et al., 2011; Volkow & Wise, 2005), a family history of addiction (Agrawal et al., 2012), and a greater number of treatment substances (Smith et al., 1992; Vanyukov et al., 2003).”
Background
Comorbidity and temporal relations of alcohol and cannabis use disorders from youth through adulthood
Duncan, S. C., Gau, J. M., Farmer, R. F., Seeley, J. R., Kosty, D. B., & Lewinsohn, P. M. (2015) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2015.01.025 · Cited by 36
Dysregulation as a correlate of cannabis use and problem use
Lopez-Vergara, H. I., Jackson, K. M., Meshesha, L. Z., & Metrik, J. (2019) · Addictive Behaviors · doi:10.1016/j.addbeh.2019.03.010 · Cited by 30
“Increased levels of dysregulation have been hypothesized to be both an antecedent of cannabis involvement (Vanyukov et al., 2003) as well as a consequence of use (Solowij & Michie, 2006).”
Background
Novel Biological Insights Into the Common Heritable Liability to Substance Involvement: A Multivariate Genome-wide Association Study
Schoeler, T., Baldwin, J. R., Allegrini, A. G., Barkhuizen, W., McQuillin, A., Pirastu, N., Kutalik, Z., & Pingault, J. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.07.027 · Cited by 27
Onset, Comorbidity, and Predictors of Nicotine, Alcohol, and Marijuana Use Disorders Among North American Indigenous Adolescents
Hautala, D. S., Sittner, K. J., & Walls, M. L. (2018) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-018-0500-0 · Cited by 32
“A common liability model of SUD can be used to explain the development of these comorbid disorders, which posits that individual variation in substance abuse and dependence shares substantial commonalities across genetic, psychological, and environmental systems (Vanyukov et al. 2003).”
BackgroundInfluential
Analysis of substance use and its outcomes by machine learning: II. Derivation and prediction of the trajectory of substance use severity
Hu, Z., Jing, Y., Xue, Y., Fan, P., Wang, L., Vanyukov, M. M., Kirisci, L., Wang, J., Tarter, R. E., & Xie, X. (2019) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2019.107604 · Cited by 26
“Although substance-specific studies are informative, they do not account for the well-established fact that sources of variance in liabilities to substance-specific disorders are substantially shared (Kendler et al., 2003; Tsuang et al., 1998; Vanyukov et al., 2003, 2012).”
Background
Adolescent cannabis exposure increases heroin reinforcement in rats genetically vulnerable to addiction.
Lecca, D., Scifo, A., Pisanu, A., Valentini, V., Piras, G., Sil, A., Cadoni, C., & Chiara, G. D. (2020) · Neuropharmacology · doi:10.1016/j.neuropharm.2020.107974 · Cited by 24
Preadolescent sensation seeking and early adolescent stress relate to at-risk adolescents' substance use by age 15
Charles, N. E., Mathias, C. W., Acheson, A., & Dougherty, D. M. (2017) · Addictive Behaviors · doi:10.1016/j.addbeh.2017.01.005 · Cited by 26
“into a single variable is theoretically consistent with the common liability model of addiction, which asserts that a considerable amount of the variance in risk for developing a substance use disorder is attributable to factors that are common across many different substance use disorders (Vanyukov et al., 2003).”
Background
Is marijuana really a gateway drug? A nationally representative test of the marijuana gateway hypothesis using a propensity score matching design
Jorgensen, C., & Wells, J. (2021) · Journal of Experimental Criminology · doi:10.1007/s11292-021-09464-z · Cited by 32
Failure to sustain prepulse inhibition in adolescent marijuana users
Mathias, C. W., Blumenthal, T. D., Dawes, M. A., Liguori, A., Richard, D. M., Bray, B. C., Tong, W., & Dougherty, D. M. (2011) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2010.11.020 · Cited by 28
Longitudinal stability and change in adolescent substance use: A latent transition analysis
Zych, I., Rodríguez‐Ruiz, J., Marín‐López, I., & Llorent, V. J. (2020) · Children and Youth Services Review · doi:10.1016/j.childyouth.2020.104933 · Cited by 25
Separate and combined effects of the GABA reuptake inhibitor tiagabine and Δ9-THC in humans discriminating Δ9-THC
Lile, J. A., Kelly, T. H., & Hays, L. R. (2011) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2011.09.010 · Cited by 25
Developmental momentum toward substance dependence: Natural histories and pliability of risk factors in youth experiencing chronic stress
Ridenour, T. A., Chilenski, S. M., & Reid, E. E. (2012) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2011.12.016 · Cited by 25
“…liability theory posits and evidence demonstrates that one’s propensity for addiction to one drug (e.g., alcohol) also largely reflects his or her liability to other SUDs (e.g., illegal drugs; Ridenour et al., 2011; Vanyukov et al., 2003) as well as other behavior problems (Krueger et al., 2007).”
Background
Sex differences in self-report and behavioral measures of disinhibition predicting marijuana use across adolescence.
Felton, J. W., Collado, A., Shadur, J. M., Lejuez, C. W., & MacPherson, L. (2015) · Experimental and Clinical Psychopharmacology · doi:10.1037/pha0000031 · Cited by 29
“A popular framework that has received extensive support in elucidating the mechanisms underlying substance use is the personality diatheses model which posits that dispositional vulnerabilities may lead to problematic substance use (Krueger et al., 2002; Sher & Trull, 1994; Vanyukov et al., 2003).”
Risk factors for alcohol and other drug disorders: A review
Marsh, A., & Dale, A. (2005) · Australian Psychologist · doi:10.1080/00050060500094662 · Cited by 24
Deviant socialization mediates transmissible and contextual risk on cannabis use disorder development: a prospective study
Tarter, R. E., Fishbein, D. H., Kirisci, L., Mezzich, A. C., Ridenour, T. A., & Vanyukov, M. M. (2011) · Addiction · doi:10.1111/j.1360-0443.2011.03401.x · Cited by 23
“The rationale and method of deriving the TLI have been documented previously [17,18].”
BackgroundMethod
Physical maturation, peer environment, and the ontogenesis of substance use disorders
Kirillova, G. P., Vanyukov, M. M., Kirisci, L., & Reynolds, M. (2008) · Psychiatry Research · doi:10.1016/j.psychres.2007.02.017 · Cited by 23
“Targeting etiological mechanisms that are shared in common by drug use disorders (Vanyukov et al., 2003a,b), the probands were required to have a DSM-III-R diagnosis (DSM-IV was introduced after this study started) of substance abuse or dependence disorder (substance use disorder, SUD+) related to…”
Background
The reinforcing, self-reported performance and physiological effects of Δ9-tetrahydrocannabinol, triazolam, hydromorphone, and methylphenidate in cannabis users
Lile, J. A., Kelly, T. H., & Hays, L. R. (2010) · Behavioural Pharmacology · doi:10.1097/fbp.0b013e32833470d7 · Cited by 22

Authors: Vanyukov, M. M., Tarter, R. E., Kirisci, L., Kirillova, G. P., Maher, B. S., & Clark, D. B.
Affiliations: University of Pittsburgh (US)
Corresponding author: Vanyukov, Michael M
ORCID: Vanyukov, Michael M
Tarter, Ralph E
Kirisci, Levent
Maher, Brion S
Clark, Duncan B
Venue: Neuroscience & Biobehavioral Reviews
Publisher: Elsevier BV
Published: 2003-10
Volume: 27
Issue: 6
Pages: 507-515
ISSN: 0149-7634 (ISSN-L)
DOI: 10.1016/j.neubiorev.2003.08.002
OpenAlex: W2000690643
Cited by: 205
References: 92
Citations by year: 2026: 2 · 2025: 5 · 2024: 1 · 2023: 8 · 2022: 9 · 2021: 7 · 2020: 9 · 2019: 11 · 2018: 13 · 2017: 6 · 2016: 9 · 2015: 15 · 2014: 13 · 2013: 9 · 2012: 22
FWCI: 1.05
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Neuroscience & Biobehavioral Reviews (publishedVersion)
PubMed (publishedVersion)
Funders: National Institutes of Health (5r01da011922-05)
National Institute on Alcohol Abuse and Alcoholism (R01AA011637, K02AA000291, K02-AA00291)
National Institute on Drug Abuse (R01-DA011922, P50DA005605)
Topics: Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
Keywords: substance use disorders, latent traits, genetic susceptibility, environmental risk factors, biochemical factors, psychological factors
MeSH terms: Brain Chemistry, Disease Susceptibility, Humans, Phenotype, Risk Factors, Sex Factors, Social Environment, Causality, Precipitating Factors, Substance-Related Disorders, Genetic Predisposition to Disease

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Liability to substance use disorders: 1. Common mechanisms and manifestations

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