Skip to main content
Substance Use & Related Disorders

The Potential and Challenges of Genomics Informed Precision Care for Substance Use Disorders

    Journal of Psychosocial Nursing and Mental Health Services, 2024;62(3):11–14

    Abstract

    Substance use disorders (SUDs) are complex brain disorders with heritability rooted in the interplay of multiple genetic factors, alongside significant environmental influences. Gaining insights into the genetic mechanisms that heighten SUD risk can guide precision care, specifically in the development of targeted tools for prevention, early intervention, and the discovery of therapeutic targets. Nurses are ideally placed to advance genomics-informed precision care for individuals with SUDs. To fulfill this role, they must be adequately prepared to assess the value and utility of current genomics knowledge, its limitations, and ways to incorporate this understanding into clinical practice, education, research, and health care policy. [Journal of Psychosocial Nursing and Mental Health Services, 62(3), 11–14.]

    • Berghmans R., de Jong J., Tibben A., & de Wert G. (2009). On the biomedicalization of alcoholism. Theoretical Medicine and Bioethics, 30(4), 311–321. 10.1007/s11017-009-9103-7 PMID:19424820

      > Crossref MedlineGoogle Scholar
    • Deak J. D., & Johnson E. C. (2021). Genetics of substance use disorders: A review. Psychological Medicine, 51(13), 2189–2200. 10.1017/S0033291721000969

      > CrossrefGoogle Scholar
    • Dingel M. J., Ostergren J., Koenig B. A., & McCormick J. (2019). “Why did I get that part of you?” Understanding addiction genetics through family history. Public Understanding of Science (Bristol, England), 28(1), 53–67. 10.1177/0963662518785350 PMID:29947292

      > Crossref MedlineGoogle Scholar
    • Driver M. N., Kuo S. I., & Dick D. M. (2020). Interest in genetic feedback for alcohol use disorder and related substance use and psychiatric outcomes among young adults. Brain Sciences, 10(12), 1007. 10.3390/brainsci10121007 PMID:33352962

      > Crossref MedlineGoogle Scholar
    • Hatoum A. S., Colbert S. M. C., Johnson E. C., Huggett S. B., Deak J. D., Pathak G., Jennings M. V., Paul S. E., Karcher N. R., Hansen I., Baranger D. A. A., Edwards A., Grotzinger A., Tucker-Drob E. M., Kranzler H. R., Davis L. K., Sanchez-Roige S., Polimanti R., Gelernter J., Agrawal A., & the Substance Use Disorder Working Group of the Psychiatric Genomics Consortium. (2023). Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders. Nature Mental Health, 1(3), 210–223. 10.1038/s44220-023-00034-y PMID:37250466

      > Crossref MedlineGoogle Scholar
    • Hatoum A. S., Wendt F. R., Galimberti M., Polimanti R., Neale B., Kranzler H. R., Gelernter J., Edenberg H.J., & Agrawal A. (2021). Ancestry may confound genetic machine learning: Candidate-gene prediction of opioid use disorder as an example. Drug and Alcohol Dependence, 229(Pt B), 109115. 10.1016/j.drugalcdep.2021.109115 PMID:34710714

      > Crossref MedlineGoogle Scholar
    • Johnson E. C., Demontis D., Thorgeirsson T. E., Walters R. K., Polimanti R., Hatoum A. S., Sanchez-Roige S., Paul S. E., Wendt F. R., Clarke T. K., Lai D., Reginsson G. W., Zhou H., He J., Baranger D. A. A., Gudbjartsson D. F., Wedow R., Adkins D. E., Adkins A. E., Agrawal A., & the Psychiatric Genomics Consortium Substance Use Disorders Workgroup. (2020). A large-scale genome-wide association study meta-analysis of cannabis use disorder. The Lancet. Psychiatry, 7(12), 1032–1045. 10.1016/S2215-0366(20)30339-4 PMID:33096046

      > Crossref MedlineGoogle Scholar
    • Kendler K. S., Jacobson K. C., Prescott C. A., & Neale M. C. (2003). Specificity of genetic and environmental risk factors for use and abuse/dependence of cannabis, cocaine, hallucinogens, sedatives, stimulants, and opiates in male twins. The American Journal of Psychiatry, 160(4), 687–695. 10.1176/appi.ajp.160.4.687 PMID:12668357

      > Crossref MedlineGoogle Scholar
    • Kranzler H. R., Zhou H., Kember R. L., Smith R. V., Justice A. C., Damrauer S., Tsao P. S., Klarin D., Baras A., Reid J., Overton J., Rader D. J., Cheng Z., Tate J. P., Becker W. C., Concato J., Xu K., Polimanti R., Zhao H., & Gelernter J. (2019). Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations. Nature Communications, 10(1), 1499. 10.1038/s41467-019-09480-8 PMID:30940813

      > Crossref MedlineGoogle Scholar
    • Liu M., Jiang Y., Wedow R., Li Y., Brazel D. M., Chen F., Datta G., Davila-Velderrain J., McGuire D., Tian C., Zhan X., Choquet H., Docherty A. R., Faul J. D., Foerster J. R., Fritsche L. G., Gabrielsen M. E., Gordon S. D., Haessler J., Vrieze S., & the 23andMe Research Team, & the HUNT All-In Psychiatry. (2019). Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use. Nature Genetics, 51(2), 237–244. 10.1038/s41588-018-0307-5 PMID:30643251

      > Crossref MedlineGoogle Scholar
    • Merikangas K. R., Stolar M., Stevens D. E., Goulet J., Preisig M. A., Fenton B., Zhang H., O'Malley S. S., & Rounsaville B. J. (1998). Familial transmission of substance use disorders. Archives of General Psychiatry, 55(11), 973–979. 10.1001/archpsyc.55.11.973 PMID:9819065

      > Crossref MedlineGoogle Scholar
    • Morden N. E., Chyn D., Wood A., & Meara E. (2021). Racial inequality in prescription opioid receipt: Role of individual health systems. The New England Journal of Medicine, 385(4), 342–351. 10.1056/NEJM-sa2034159 PMID:34289277

      > Crossref MedlineGoogle Scholar
    • Quach B. C., Bray M. J., Gaddis N. C., Liu M., Palviainen T., Minica C. C., Zellers S., Sherva R., Aliev F., Nothnagel M., Young K. A., Marks J. A., Young H., Carnes M. U., Guo Y., Waldrop A., Sey N. Y. A., Landi M. T., McNeil D. W., Hancock D. B. (2020). Expanding the genetic architecture of nicotine dependence and its shared genetics with multiple traits. Nature Communications, 11(1), 5562. 10.1038/s41467-020-19265-z PMID:33144568

      > Crossref MedlineGoogle Scholar
    • Substance Abuse and Mental Health Services Administration. (n.d.). 2022 National Survey on Drug Use and Health (NSDUH) releases. https://www.samhsa.gov/data/release/2022-national-survey-drug-use-and-health-nsduh-releases

      > Google Scholar
    • Uhl G. R., Koob G. F., & Cable J. (2019). The neurobiology of addiction. Annals of the New York Academy of Sciences, 1451(1), 5–28. 10.1111/nyas.13989 PMID:30644552

      > Crossref MedlineGoogle Scholar
    • Xavier R. M., Shanavas Y., Britt B. M., & George W. T. (2023). Influences of race and clinical variables on psychiatric genetic research participation: Results from a schizophrenia sample. PLoS One, 18(4), e0284356. 10.1371/journal.pone.0284356 PMID:37043443

      > Crossref MedlineGoogle Scholar
    • Zhou H., Kember R. L., Deak J. D., Xu H., Toikumo S., Yuan K., Lind P. A., Farajzadeh L., Wang L., Hatoum A. S., Johnson J., Lee H., Mallard T. T., Xu J., Johnston K. J. A., Johnson E. C., Nielsen T. T., Galimberti M., Dao C., Gelernter J., & the Million Veteran Program. (2023). Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals. Nature Medicine, 29(12), 3184–3192. 10.1038/s41591-023-02653-5 PMID:38062264

      > Crossref MedlineGoogle Scholar
    • Zhou H., Rentsch C. T., Cheng Z., Kember R. L., Nunez Y. Z., Sherva R. M., Tate J. P., Dao C., Xu K., Polimanti R., Farrer L. A., Justice A. C., Kranzler H. R., Gelernter J., & the Veterans Affairs Million Veteran Program. (2020). Association of OPRM1 functional coding variant with opioid use disorder: A genome-wide association study. JAMA Psychiatry, 77(10), 1072–1080. 10.1001/jamapsychiatry.2020.1206 PMID:32492095

      > Crossref MedlineGoogle Scholar

    We use cookies on this site to enhance your user experience. For a complete overview of all the cookies used, please see our privacy policy.

    ×