Addictive Behavior and Evolutionary Adaptation: Mitigated through Genetic Addiction Risk Severity Early Identification and Awareness Integration Theory

Main Article Content

Foojan Zeine Nicole Jafari Eileen Manoukian Kenneth Blum

Abstract

Objectives: Humans, with their unique genetic profile, exhibit a greater propensity to develop and maintain addiction compared to other animals. This paper offers a detailed examination of addiction, co-occurring traits, and psychologic disorders, focusing on neurobiological and molecular aspects. Furthermore, the authors investigate the potential of the Awareness Integration Theoretical model as an effective therapeutic addiction treatment.


Methods: Using PsychINFO, PubMed, and Google Scholar, a comprehensive literature review was conducted on the evolutionary and adaptation pathways to addiction, epigenetic factors, and the potentiality of Awareness Integration Theory in treating addiction.


Results: Epigenetics allows environmental factors to create lasting and heritable phenotypic changes, enabling rapid adaptation to these stimuli. Addiction “high-jacks” this system and the neurochemical mechanisms that control flexibility and innovation and is, thus, the price we pay for adaptability. Drug addiction is thought of as an adjunctive behavior or a subordinate behavior catalyzed by more profound, more significant psychological and biological stimuli.


Conclusions: The neurochemical mechanisms underlying addiction, a complex interplay of genetic and environmental factors, are intertwined with the hallmark features of the human species, such as behavioral flexibility and pre-addictive propensity. The dopaminergic system, a key player in addiction, serves as a crucial link between addiction and the shared genetic profile evident in co-occurring traits and psychiatric and psychological disorders. Furthermore, a hypofunctioning dopaminergic system is a common characteristic of addiction and co-occurring psychiatric and psychological disorders. Early childhood preventative measures are vital in re-directing the existing predictive and poor adaptability functioning, which refers to the individual's inability to adapt to changing circumstances and reliance on maladaptive coping strategies. Awareness Integration Theory’s approach encompasses a therapeutical model addressing individuals' physical, cognitive, and psychosocial domains, allowing the individual to address intergenerational and ancestral ineffective and harmful adaptability. This, in turn, AIT will allow the human genome to be on a healthier path to recovery from obstacles such as addiction. When a tendency or a characteristic improves your ability to function and survive, and especially your ability to produce and raise children, that will most likely break the cycle of addiction and addictive behavior.

Article Details

How to Cite
ZEINE, Foojan et al. Addictive Behavior and Evolutionary Adaptation: Mitigated through Genetic Addiction Risk Severity Early Identification and Awareness Integration Theory. Medical Research Archives, [S.l.], v. 12, n. 8, aug. 2024. ISSN 2375-1924. Available at: <https://esmed.org/MRA/mra/article/view/5702>. Date accessed: 06 sep. 2024. doi: https://doi.org/10.18103/mra.v12i8.5702.
Section
Research Articles

References

1. Hammond AS, Almécija S, Libsekal Y, Rook L, Macchiarelli R. Partial Homo pelvis from the Early Pleistocene of Eritrea. J Hum Evol. 2018;123:109-128. doi:10.1016/j.jhevol.2018.06.010. PMID: 30017175.

2. Van Staaden MJ, Hall FS, Huber R. The deep evolutionary roots of 'addiction.' J Ment Health Clin Psychol. 2018;2(3):8-13.

3. Saah T. The evolutionary origins and significance of drug addiction. Harm Reduct J. 2005;2(8). doi:10.1186/1477-7517-2-8.

4. Blum K, Bowirrat A, Baron D, et al. Identification of stress-induced epigenetic methylation onto dopamine D2 gene and neurological and behavioral consequences. Gene Protein Dis. 2024;3(1):10.369 22/gpd.1966. doi:10.36922/gpd.1966. PMID: 387 66604; PMCID: PMC11100097.

5. American Psychological Association (APA). Substance Use, Abuse, and Addiction. Accessed July 12, 2024.
https://www.apa.org/topics/substance-use-abuse-addiction.

6. Wang XQ, Mokhtari T, Zeng YX, Yue LP, Hu L. The Distinct Functions of Dopaminergic Receptors on Pain Modulation: A Narrative Review. Neural Plast. 2021;2021:6682275. doi:10.1155/2021/6682275. PMID: 33688340; PMCID: PMC7920737.

7. Wingo TS, Liu Y, Gerasimov ES, et al. Shared mechanisms across the major psychiatric and neurodegenerative diseases. Nat Commun. 2022; 13(1):4314. doi:10.1038/s41467-022-31873-5. PMID: 35882878; PMCID: PMC9325708.

8. Moran M, Blum K, Ponce JV, et al. High Genetic Addiction Risk Score (GARS) in Chronically Prescribed Severe Chronic Opioid Probands Attending Multi-pain Clinics: an Open Clinical Pilot Trial. Mol Neurobiol. 2021;58:3335-3346. doi:10.1007/s12035-021-02312-1.

9. Blum K, Baron D, McLaughlin T, et al. Summary Document Research on RDS Anti-addiction Modeling: Annotated Bibliography. J Addict Psychiatry. 2024; 8(1):1-33. PMID: 38765881; PMCID: PMC11100022.
10. Kótyuk E, Urbán R, Hende B, et al. Development and validation of the Reward Deficiency Syndrome Questionnaire (RDSQ-29). J Psychopharmacol. 2022;36(3):409-422. doi:10.117 7/02698811211069102. PMID: 35102768.

11. Falk JL. Drug abuse as an adjunctive behavior. Drug Alcohol Depend. 1998;52:91-98.
doi:10.1016/S0376-8716(98)00084-2.

12. Panksepp J, Knutson B, Burgdorf J. The role of brain emotional systems in addictions: a neuro-evolutionary perspective and new 'self-report' animal model. Addiction. 2002;97:459-469.
doi:10.1046/j.1360-0443.2002.00025.x.

13. St John-Smith P, Abed R. Substance abuse and evolution. In: Abed R, St John-Smith P, eds. Evolutionary Psychiatry: Current Perspectives on Evolution and Mental Health. Cambridge University Press; 2022:186-201.

14. Horvath T. Addiction and recovery: An evolutionary perspective. Practical Recovery Blog. July 14, 2015. Accessed July 12, 2024.
https://www.practicalrecovery.com/prblog/addiction-and-recovery-an-evolutionary-perspective.

15. Blum K, Bowirrat A, Elman I, et al. Evidence for the DRD2 gene as a Reward Deficiency Syndrome (RDS) determinant. Clin Exp Psychol. 2023;9(4):8-11. PMID: 37560184; PMCID: PMC10411139.

16. Gotzes F, Balfanz S, Baumann A. Primary structure and functional characterization of a Drosophila dopamine receptor with high homology to human D1/5 receptors. Receptors Channels. 1994;2:131-141.

17. Hearn MG, Ren Y, McBride EW, Reveillaud I, Beinborn M, Kopin AS. A Drosophila dopamine 2-like receptor: molecular characterization and identification of multiple alternatively spliced variants. Proc Natl Acad Sci U S A. 2002;99:14554-14559.

18. Sugamori KS, Demchyshyn LL, McConkey F, Forte MA, Niznik HB. A primordial dopamine D1-like adenylyl cyclase-linked receptor from Drosophila melanogaster displaying poor affinity for benzazepines. FEBS Lett. 1995;362:131-138.

19. Feng G, Hannan F, Reale V, et al. Cloning and functional characterization of a novel dopamine receptor from Drosophila melanogaster. J Neurosci. 1996;16:3925-3933.

20. Macrae AD, Brenner S. Analysis of the dopamine receptor family in the compact genome of the puffer fish Fugu rubripes. Genomics. 1995; 25:436-446.

21. Opazo JC, Zavala K, Miranda-Rottmann S, Araya R. Evolution of dopamine receptors: phylogenetic evidence suggests a later origin of the DRD2l and DRD4rs dopamine receptor gene lineages. PeerJ. 2018;6. doi:10.7717/peerj.4593. PMID: 29666757; PMCID: PMC5900934.

22. Mehrabian A, Blum JS. Temperament and personality as functions of age. Int J Aging Hum Dev. 1996;42:251-269.

23. Martinez D, Narendran R. Imaging neurotransmitter release by drugs of abuse. Curr Top Behav Neurosci. 2010;3:219-245.

24. Sapolsky RM. The influence of social hierarchy on primate health. Science. 2005;308:648-652.

25. Moors A, De Houwer J. Automatic processing of dominance and submissiveness. Exp Psychol. 2005;52:296-302.

26. Zink CF, Tong Y, Chen Q, Bassett DS, Stein JL, et al. Know your place: neural processing of social hierarchy in humans. Neuron. 2008;58:273-283.

27. Christakis NA, Fowler JH. The spread of obesity in a large social network over 32 years. N Engl J Med. 2007;357:370-379.

28. Fowler JH, Dawes CT, Christakis NA. Model of genetic variation in human social networks. Proc Natl Acad Sci U S A. 2009;106:1720-1724.

29. Blum K, Noble EP, Sheridan PJ, Montgomery A, Ritchie T, et al. Allelic association of human dopamine D2 receptor gene in alcoholism. JAMA. 1990;263:2055-2060.

30. Rosenquist JN, Murabito J, Fowler JH, Christakis NA. The spread of alcohol consumption behavior in a large social network. Ann Intern Med. 2010;152:426-433.

31. McLellan AT, Koob GF, Volkow ND. Preaddiction-A Missing Concept for Treating Substance Use Disorders. JAMA Psychiatry. 2022;79:749-751. doi:10.1001/jamapsychiatry.2022.1652.

32. Glechner A, Keuchel L, Affengruber L, et al. Effects of lifestyle changes on adults with prediabetes: A systematic review and meta-analysis. Prim Care Diabetes. 2018;12:393-408. doi:10.1016/j.pcd.2018.07.003.

33. Blum K, Sharafshah A, Lewandrowski KW, et al. Preaddiction Phenotype is Associated with Dopaminergic Dysfunction: Pharmacogenomic Evidence from 88.8M GWAS-Based Samples. NIDA Genetics and Epigenetics Cross-Cutting Research Consortium; NIH Bethesda, Md., May 23-24, 2024.

34. Lewin-Epstein O, Jaques Y, Feldman MW, Kaufer D, Hadany L. Evolutionary modeling suggests that addictions may be driven by competition-induced microbiome dysbiosis. Commun Biol. 2023;6(782). doi:10.1038/s42003-023-05099-0.

35. Center on the Developing Child. From best practices to breakthrough impacts: A science-based approach to building a more promising future for young children and families. Harvard University; 2016.

36. Zucker RA, Heitzeg MM, Nigg JT. Parsing the undercontrol/disinhibition pathway to substance use disorders: A multilevel developmental problem. Child Dev Perspect. 2011;5:248-255.

37. Felitti VJ, Anda RF, Nordenberg D, et al. The Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults: The Adverse Childhood Experiences (ACE) Study. Am J Prev Med. 1998;14(4):245-258.

38. Olds DL, Eckenrode J, Henderson CR Jr, et al. Long-term effects of home visitation on maternal life course and child abuse and neglect: Fifteen-year follow-up of a randomized trial. JAMA. 1997;278(8):637-643.

39. Reynolds AJ, Temple JA, Robertson DL, Mann EA. Long-term effects of an early childhood intervention on educational achievement and juvenile arrest: A 15-year follow-up of low-income children in public schools. JAMA. 2001;285(18): 2339-2346.

40. Murray DW, Bender HA, Vandenberg B. Promoting protective factors for young children: Strategies for early childhood educators. Young Children. 2013;68(2):60-67.

41. Shonkoff JP, Phillips DA, eds. From Neurons to Neighborhoods: The Science of Early Childhood Development. National Academies Press; 2000.

42. Sroufe LA, Egeland B, Carlson EA, Collins WA. The Development of the Person: The Minnesota Study of Risk and Adaptation from Birth to Adulthood. Guilford Press; 2005.

43. Zeine F. Awareness Integration: A new therapeutic model. Int J Emerg Ment Health Hum Resilience. 2016;16:60-65.

44. Zeine F, Jafari N, Haghighatjoo F. Awareness Integration: An alternative therapeutic methodology to reducing depression and anxiety while improving low self-esteem and self-efficacy in separated or divorced individuals. Ment Health Fam Med. 2017; 13(2):451-458.

45. Zeine F, Jafari N, Forouzesh M. Awareness Integration: A Non-Invasive Recovery Methodology in Reducing College Student Anxiety, Depression, and Stress. TOJET. 2017 Nov; Special Issue for IETC (2017):105-114. Presented at Harvard University. Available at: www.tojet.net/special/2017_11_1.pdf.

46. Madani H, Zeine F. Awareness integration therapy for generalized anxiety disorder. Int J Psychol Res. 2023;5(4):1-7.

47. Zarbakhsh L, Zeine F. Awareness Integration Theory Case Report: Therapeutic Intervention for Anxiety and Depression in a Transsexual Male College Student. Int J Sci Res. 2023;12(3):73-77.

48. Zeine F. Foojan App. Available at: www.foojan.com.

49. Roy AK, Bowirrat A, Smith DE, et al. Neurobiology and Spirituality in Addiction Recovery. Acta Sci Neurol. 2021;4(9):64-71. PMID: 35098052; PMCID: PMC8793770.

50. Blum K, McLaughlin T, Gold MS, et al. Are We Getting High Cause the Thrill is Gone? J Addict Psychiatry. 2023;7(1):5-516. PMID: 38164471; PMCID: PMC10758019.

51. Lewandrowski KU, Sharafshah A, Elfar J, Schmidt SL, Blum K, Wetzel FT. A Pharmacogenomics-Based In Silico Investigation of Opioid Prescribing in Post-operative Spine Pain Management and Personalized Therapy. Cell Mol Neurobiol. 2024;44 (1):47. doi:10.1007/s10571-024-01466-5. PMID: 38801645; PMCID: PMC11129978.

52. Blum K, Baron D, Hauser M, et al. Americas' opioid/psychostimulant epidemic would benefit from general population early identification of genetic addiction risk especially in children of alcoholics (COAs). J Syst Integr Neurosci. 2019;5(2):1-3. PMID: 32082617; PMCID: PMC7032561.

53. Zeine F, Jafari N, Nami M, Blum K. Awareness integration theory: A psychological and genetic path to self-directed neuroplasticity. Health Sci Rev. 2024;11:100169. doi:10.1016/j.hsr.2024.100169.

54. Zeine F, Jafari N. Awareness Integration Theory: An evidence-based multi-modality approach workshop. InPact – Psychol Appl Trends. 2024;721-723. p-ISSN: 2184-2205 e-ISSN: 2184-3414 ISBN: 978-989-35106-6-7.