Review Article Volume 17 Issue 11 - 2025

Inducing Dopamine Homeostasis to Combat Brain-Gut Functional Impairment as a Function of Behavioral and Neurogenetic Correlates of Reward Deficiency Syndrome (RDS)

Kenenth Blum1-7*, Kai-Uwe-Lewandrowski1,8, Morgan P Lorio9, Alireza Sharafshah10, Kavya Mohankumar4, Nicole Jafari11, Foojan Zeine12, John Giordano4, Alvaro Dowling13,14, Rafaela Dowling15, Panayotis K Thanos16, Igor Elman17, Rossano Kepler Alvim Fiorelli 5,  Sergio Schmidt5, Debasis Bagchi18, Marco Lindenau4 and Rajendra D Badgaiyan19

1Division Personalized Pain Research and Education, Center for Advanced Spine Care of Southern Arizona, Tucson, AZ, USA

2Department of Psychiatry, Wright State University Boonshoft School of Medicine and Dayton VA Medical Center, Dayton, OH, USA

3Department of Psychiatry, Human Integrated Services Unit, University of Vermont Center for Clinical and Translational Science, College of Medicine, Burlington, VT, USA

4The Kenneth Blum Behavioral and Neurogenetic Institute, LLC., Austin, TX, USA

5Post-Graduate Program in Neurology, Federal University of the State of Rio de Janeiro, Rio de Janeiro, Brazil

6Department of Molecular Biology, Adelson School of Medicine, Ariel University, Ariel, Israel

7Eotvos Lorand University, Institute of Psychology, Department of Clinical Psychology and Addiction, Budapest, Hungary

8Department of Spine Surgery, University of Arizonia, School of Medicine, Tucson, AZ, USA

9Department of Osteopathic Principles and Practice, Orlando College of Osteopathic Medicine, Orlando, FL, USA

10Cellular and Molecular Research Center, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran

11Department of Applied Clinical Psychology, The Chicago School of Professional Psychology, Los Angeles, CA, USA

12Department of Health Science, California State University at Long Beach, Long Beach, CA, USA

13Orthopaedic Spine Surgeon, Director of Endoscopic Spine Clinic, Santiago, Chile

14Department of Orthopaedic Surgery, USP, Ribeirão Preto, Brazil

15Catacell, Santiago de Chile, Chile

16Behavioral Neuropharmacology and Neuroimaging Laboratory on Addictions, Clinical Research Institute on Addictions, Department of Pharmacology and Toxicology, Jacobs School of Medicine and Biosciences, State University of New York at Buffalo, Buffalo, NY, USA

17Department of Psychiatry, Harvard University School of Medicine, Cambridge, MA, USA

18Department of Pharmaceutical Sciences, Texas Southern University College of Pharmacy, Houston, TX, USA

19Department of Psychiatry, Mt. Sinai University School of Medicine, New York City, NY, USA

*Corresponding Author: Kenenth Blum, Division Personalized Pain Research and Education, Center for Advanced Spine Care of Southern Arizona, Tucson, AZ, USA.
Received: September 18, 2025; Published: October 15, 2025



Reward Deficiency Syndrome (RDS) encompasses a spectrum of addictive and compulsive behaviors, including substance use disorders, obesity, and behavioral addictions, rooted in dysregulated dopaminergic and endorphinergic pathways. Genetic, epigenetic, and environmental factors interact to compromise the Brain Reward Cascade (BRC), resulting in hypodopaminergia and impaired endogenous opioid signaling. Polymorphisms in key genes, such as DRD2, PENK, and OPRM1, along with epigenetic modifications, can reduce dopamine or endorphin function, increasing vulnerability to compulsive behaviors and addiction. Animal and human studies demonstrate overlapping neurobiological mechanisms across substance and non-substance addictions, implicating the mesolimbic system, prefrontal cortex, and hypothalamic-gut axis. Obesity, as a subtype of RDS, illustrates the interplay of homeostatic and hedonic reinforcement, with metabolic hormones like leptin and ghrelin modulating ventral tegmental area (VTA) dopamine activity. Food and drug addictions share common neurogenetic pathways, and gene-environment interactions influence the propensity for addictive behaviors, including post-bariatric surgery “addiction transfer”. Emerging strategies focus on pro-dopamine regulation, aiming to restore dopaminergic homeostasis through nutraceuticals, lifestyle interventions, and personalized medicine. Genetic Addiction Risk Severity (GARS) testing enables early identification of at-risk individuals, informing targeted prevention and treatment approaches. Policy recommendations emphasize safe, evidence-based integration of pro-dopamine therapies with behavioral and pharmacologic interventions, ensuring quality, transparency, and equitable access. Collectively, these findings underscore the importance of understanding the neurogenetic underpinnings of RDS to develop individualized, mechanistically informed interventions for addiction, obesity, and related disorders.

 Keywords: Dopamine; Brain-Gut Functional Impairment; Reward Deficiency Syndrome (RDS)

  1. Blum K. “Reward deficiency syndrome”. In: Wenzel A., editor. The Sage Encyclopedia of Abnormal Clinical Psychology. Sage Publications Pennsylvania (2017).
  2. Gondré-Lewis MC., et al. “Pre-clinical models of reward deficiency syndrome: A behavioral octopus”. Neuroscience and Biobehavioral Reviews 115 (2020): 164-188.
  3. Comings DE and Blum K. “Reward deficiency syndrome: genetic aspects of behavioral disorders”. Progress in Brain Research 126 (2000): 325-341.
  4. Berridge KC and Robinson TE. “Liking, wanting, and the incentive-sensitization theory of addiction”. American Psychologist 8 (2016): 670-679.
  5. Myers RD and Cicero TJ. “Effects of serotonin depletion on the volitional alcohol intake of rats during a condition of psychological stress”. Psychopharmacologia5 (1969): 373-381.
  6. Kleykamp BA., et al. “Time to reconsider the role of craving in opioid use disorder”. JAMA Psychiatry11 (2019): 1113-1114.
  7. Smith DE. “The process addictions and the new ASAM definition of addiction”. Journal of Psychoactive Drugs 1 (2012): 1-4.
  8. Geller I and Blum K. “The effects of 5-HTP on Para-Chlorophenylalanine (p-CPA) attenuation of "conflict" behavior”. European Journal of Pharmacology 3 (1970): 319-324.
  9. Reiter RJ., et al. “Effect of the pineal gland on alcohol consumption by congenitally blind male rats”. Quarterly Journal of Studies on Alcohol 3 (1973): 937-939.
  10. Geller I. “Ethanol preference in the rat as a function of photoperiod”. Science3995 (1971): 456-459.
  11. Blum K., et al. “A possible relationship between the pineal gland and ethanol preference in the rat”. Current Therapeutic Research - Clinical and Experimental 1 (1973): 25-30.
  12. Reiter RJ., et al. “Pineal gland: evidence for an influence on ethanol preference in male Syrian hamsters”. Comparative Biochemistry and Physiology Part A 1 (1974): 11-16.
  13. Raiewski EE., et al. “Twice daily melatonin peaks in Siberian but not Syrian hamsters under 24 h light: dark: light: dark cycles”. Chronobiology International 9 (2012): 1206-1215.
  14. Namboodiri MA., et al. “Serum melatonin and pineal indoleamine metabolism in a species with a small day/night N-acetyltransferase rhythm”. Comparative Biochemistry and Physiology Part B 4 (1985): 731-736.
  15. Coon SL., et al. “Circadian changes in long noncoding RNAs in the pineal gland”. Proceedings of the National Academy of Sciences of the United States of America 33 (2012): 13319-13324.
  16. Davis VE and Walsh MJ. “Alcohol, amines, and alkaloids: a possible biochemical basis for alcohol addiction”. Science3920 (1970): 1005-1007.
  17. Cohen G and Collins M. “Alkaloids from catecholamines in adrenal tissue: possible role in alcoholism”. Science 3926 (1970): 1749-1751.
  18. Myers RD. “Isoquinolines, beta-carbolines and alcohol drinking: involvement of opioid and dopaminergic mechanisms”. Experientia 5 (1989): 436-443.
  19. Hamilton MG., et al. “Identification of an isoquinoline alkaloid after chronic exposure to ethanol”. Alcohol, Clinical and Experimental Research 2 (1978): 133-137.
  20. Blum K., et al. “Isoquinoline alkaloids as possible regulators of alcohol addiction”. Lancet 8015 (1977): 799-800.
  21. Marshall A., et al. “Analgesic effects of 3-carboxysalsolinol alone and in combination with morphine”. Experientia 6 (1977): 754-755.
  22. Hamilton MG., et al. “Opiate-like activity of salsolinol on the electrically stimulated Guinea pig ileum”. Life Sciences26 (1979): 2205-2210.
  23. Blum K., et al. “Opioid responses of isoquinoline alkaloids (TIQs)”. Progress in Clinical and Biological Research 90 (1982): 387-398.
  24. Blum K. “Narcotic antagonism of seizures induced by a dopamine-derived tetrahydroisoquinoline alkaloid”. Experientia9 (1988): 751-753.
  25. Blum K., et al. “Sex, drugs, and rock 'n' roll: hypothesizing common mesolimbic activation as a function of reward gene polymorphisms”. Journal of Psychoactive Drugs 1 (2012): 38-55.
  26. Dackis CA and Gold MS. “Pharmacological approaches to cocaine addiction”. Journal of Substance Abuse Treatment 3 (1985): 139-145.
  27. Wang GJ., et al. “Comparison of two PET radioligands for imaging extrastriatal dopamine receptors in the human brain”. Synapse (New York, NY)3 (1993): 246-249.
  28. Boundy VA., et al. “Regulation of tyrosine hydroxylase promoter activity by chronic morphine in TH9.0-LacZ transgenic mice”. Journal of Neuroscience 23 (1998): 9989-9995.
  29. Comings DE., et al. “Association of the neutral endopeptidase (MME) gene with anxiety”. Psychiatric Genetics 2 (2000): 91-94.
  30. Comings DE., et al. “The proenkephalin gene (PENK) and opioid dependence”. Neuroreport 5 (1999): 1133-1135.
  31. Niikura K., et al. “Neuropathic and chronic pain stimuli downregulate central mu-opioid and dopaminergic transmission”. Trends in Pharmacological Sciences 7 (2010): 299-305.
  32. Nylander I., et al. “The effects of morphine treatment and morphine withdrawal on the dynorphin and enkephalin systems in Sprague-Dawley rats”. Psychopharmacology4 (1995): 391-400.
  33. Manninen S., et al. “Social laughter triggers endogenous opioid release in humans”. Journal of Neuroscience 25 (2017): 6125-6131.
  34. Kami K., et al. “Exercise-induced hypoalgesia: potential mechanisms in animal models of neuropathic pain”. Anatomical Science International 1 (2017): 79-90.
  35. Hicks SD., et al. “The transcriptional signature of a Runner's high”. Medicine and Science in Sports and Exercise 5 (2019): 970-978.
  36. Tuenter E., et al. “Mood components in cocoa and chocolate: the mood pyramid”. Planta Medica 12-13 (2018): 839-844.
  37. Blum K., et al. “Hypothesizing music intervention enhances brain functional connectivity involving dopaminergic recruitment: common neuro-correlates to abusable drugs”. Molecular Neurobiology 5 (2017): 3753-3758.
  38. Henry MS., et al. “Enkephalins: endogenous analgesics with an emerging role in stress resilience”. Neural Plasticity (2017): 1546125.
  39. Mao L and Wang JQ. “Selective activation of group I metabotropic glutamate receptors upregulates preprodynorphin, substance P, and preproenkephalin mRNA expression in rat dorsal striatum”. Synapse (New York, NY)1 (2001): 82-94.
  40. “Opioid peptides: molecular pharmacology, biosynthesis, and analysis”. NIDA Research Monographs 70 (1986): 1-414.
  41. Wagner JJ., et al. “Focal stimulation of the mossy fibers releases endogenous dynorphins that bind kappa 1-opioid receptors in Guinea pig hippocampus”. Journal of Neurochemistry 1 (1991): 333-343.
  42. Watanabe Y., et al. “Stimulation of accumbal GABA(B) receptors inhibits delta1- and delta2-opioid receptor-mediated dopamine efflux in the nucleus accumbens of freely moving rats”. European Journal of Pharmacology 837 (2018): 88-95.
  43. Szutorisz H and Hurd YL. “Epigenetic effects of cannabis exposure”. Biological Psychiatry 7 (2016): 586-594.
  44. Dolbin-MacNab ML and O'Connell LM. “Grandfamilies and the opioid epidemic: a systemic perspective and future priorities”. Clinical Child and Family Psychology Review 2 (2021): 207-223.
  45. Obesity and Overweight [PDF on the internet] World Health Organization (2017).
  46. Tolosa E., et al. “History of levodopa and dopamine agonists in Parkinson's disease treatment”. Neurology6 (1998): S2-10, S44-S48.
  47. Kumar B., et al. “A perspective on monoamine oxidase enzyme as drug target: challenges and opportunities”. Current Drug Targets 1 (2017): 87-97.
  48. Stracina T., et al. “Long-term haloperidol treatment prolongs QT interval and increases expression of sigma 1 and IP3 receptors in guinea pig hearts”. Tohoku Journal of Experimental Medicine 3 (2015): 199-207.
  49. Athanasiu L., et al. “Genome-wide association study identifies common variants associated with pharmacokinetics of psychotropic drugs”. Journal of Psychopharmacology 8 (2015): 884-891.
  50. Blum K. “The effect of dopamine and other catecholamines on neuromuscular transmission”. Archives Internationales de Pharmacodynamie et de Thérapie 2 (1969): 297-306.
  51. Blum K., et al. “Suppression of ethanol withdrawal by dopamine”. Experientia 4 (1976): 493-495.
  52. Blum K., et al. “Morphine suppression of ethanol withdrawal in mice”. Experientia1 (1976): 79-82.
  53. Blum K and Wallace JE. “Effects of catecholamine synthesis inhibition on ethanol-induced withdrawal symptoms in mice”. British Journal of Pharmacology 1 (1974): 109-111.
  54. Cohen J., et al. “The mechanism of alpha-adrenergic inhibition of catecholamine release”. British Journal of Pharmacology 1 (1980): 135-142.
  55. Yoshimura K. “Activation of Na-K activated ATPase in rat brain by catecholamine”. Journal of Biochemistry 2 (1973): 389-391.
  56. Myers RD., et al. “Amine-aldehyde metabolites and alcoholism: fact, myth or uncertainty”. Substance and Alcohol Actions/Misuse 1 (1980): 223-238.
  57. Melchior CL and Myers RD. “Genetic differences in ethanol drinking of the rat following injection of 6-OHDA, 5,6-DHT or 5,7-DHT into the cerebral ventricles”. Pharmacology Biochemistry and Behavior 1 (1976): 63-67.
  58. Gold MS., et al. “Low dopamine function in attention deficit/hyperactivity disorder: should genotyping signify early diagnosis in children?” Postgraduate Medicine 1 (2014): 153-177.
  59. Helinski S and Spanagel R. “Publication trends in addiction research”. Addiction Biology 4 (2011): 532-539.
  60. Blum K and Kozlowski GP. “Ethanol and neuromodulator influences: A cascade model of reward”. In: Ollat H, Parvez S, Parvez H (Eds). Alcohol and behaviour: Basic and clinical aspects. Utrecht, Netherlands: VSP (1990).
  61. Blum K., et al. “Allelic association of human dopamine D2 receptor gene in alcoholism”. Journal of the American Medical Association 15 (1990): 2055-2060.
  62. Blum K., et al. “The D2 dopamine receptor gene as a determinant of reward deficiency syndrome”. Journal of the Royal Society of Medicine 7 (1996): 396-400.
  63. Volkow ND., et al. “Predominance of D2 receptors in mediating dopamine's effects in brain metabolism: effects of alcoholism”. Journal of Neuroscience 10 (2013): 4527-4535.
  64. Hikida T., et al. “Neural mechanisms of the nucleus accumbens circuit in reward and aversive learning”. Neuroscience Research 108 (2016): 1-5.
  65. Fields HL and Margolis EB. “Understanding opioid reward”. Trends in Neurosciences 4 (2015): 217-225.
  66. Sadakierska-Chudy A., et al. “Prolonged induction of miR-212/132 and rest expression in rat striatum following cocaine self-administration”. Molecular Neurobiology 3 (2017): 2241-2254.
  67. Hetherington AW and Ranson SW. “Hypothalamic lesions and adiposity in the rat”. The Anatomical Record 2 (1940): 149-172.
  68. Dube MG., et al. “Disruption in neuropeptide Y and leptin signaling in obese ventromedial hypothalamic-lesioned rats”. Brain Research 1 (1999): 38-46.
  69. Scallet AC and Olney JW. “Components of hypothalamic obesity: bipiperidyl-mustard lesions add hyperphagia to monosodium glutamate-induced hyperinsulinemia”. Brain Research 2 (1986): 380-384.
  70. Schwartz MW., et al. “Central insulin administration reduces neuropeptide Y mRNA expression in the arcuate nucleus of food-deprived lean (Fa/Fa) but not obese (fa/fa) Zucker rats”. Endocrinology5 (1991): 2645-2647.
  71. Stellar E. “The physiology of motivation”. Psychological Review 1 (1954): 5-22.
  72. Grill HJ and Kaplan JM. “The neuroanatomical axis for control of energy balance”. Frontiers in Neuroendocrinology 1 (2002): 2-40.
  73. Keesey RE., et al. “Body weight and body composition of male rats following hypothalamic lesions”. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 1 (1979): R68-R73.
  74. Kennedy GC. “The role of depot fat in the hypothalamic control of food intake in the rat”. Proceedings of the Royal Society of London. Series B, Biological Sciences 901 (1953): 578-596.
  75. Zhang Y., et al. “Positional cloning of the mouse obese gene and its human homologue”. Nature 6505 (1994): 425-432.
  76. Keesey RE and Powley TL. “Body energy homeostasis”. Appetite3 (2008): 442-445.
  77. Payne PR and Dugdale AA. “Mechanisms for control of body weight”. Lancet 8011 (1977): 583-568.
  78. Speakman JR., et al. “Set points, settling points and some alternative models: theoretical options to understand how genes and environments combine to regulate body adiposity”. Disease Models and Mechanisms6 (2011): 733-745.
  79. Wirtshafter D and Davis JD. “Set points, settling points, and the control of body weight”. Physiology and Behavior 1 (1977): 75-78.
  80. Levin BE. “Metabolic imprinting on genetically predisposed neural circuits perpetuates obesity”. Nutrition10 (2000): 909-915.
  81. Levin BE and Dunn-Meynell AA. “Defense of body weight depends on dietary composition and palatability in rats with diet-induced obesity”. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 1 (2002): R46-R54.
  82. Levin BE and Keesey RE. “Defense of differing body weight set-points in diet-induced obese and resistant rats”. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 274 (1998): R412-R419.
  83. Fields HL and Margolis EB. “Understanding opioid reward”. Trends in Neurosciences 4 (2015): 217-225.
  84. Bouret S., et al. “Gene-environment interactions controlling energy and glucose homeostasis and the developmental origins of obesity”. Physiological Reviews1 (2015): 47-82.
  85. Thanos PK., et al. “Food restriction markedly increases dopamine D2 receptor (D2R) in a rat model of obesity as assessed with in-vivo muPET imaging ([11C] raclopride) and in-vitro ([3H] spiperone) autoradiography”. Synapse1 (2008): 50-61.
  86. Zou Z., et al. “Definition of substance and non-substance addiction”. Advances in Experimental Medicine and Biology 1010 (2017): 21-41.
  87. Grill HJ. “Distributed neural control of energy balance: contributions from hindbrain and hypothalamus”. Obesity 5 (2006): 216S-221S.
  88. Grill HJ and Hayes MR. “Hindbrain neurons as an essential hub in the neuroanatomically distributed control of energy balance”. Cell Metabolism 3 (2012): 296-309.
  89. Levin BE., et al. “Role of neuronal glucosensing in the regulation of energy homeostasis”. Diabetes2 (2006): S122-S130.
  90. Cone RD. “Anatomy and regulation of the central melanocortin system”. Nature Neuroscience 5 (2005): 571-578.
  91. Sohn JW., et al. “Neuronal circuits that regulate feeding behavior and metabolism”. Trends in Neurosciences 9 (2013): 504-512.
  92. Andrews ZB., et al. “UCP2 mediates ghrelin's action on NPY/AgRP neurons by lowering free radicals”. Nature 7206 (2008): 846-851.
  93. Cowley MA., et al. “The distribution and mechanism of action of ghrelin in the CNS demonstrates a novel hypothalamic circuit regulating energy homeostasis”. Neuron4 (2003): 649-661.
  94. Tong Q., et al. “Synaptic release of GABA by AgRP neurons is required for normal regulation of energy balance”. Nature Neuroscience 9 (2008): 998-1000.
  95. He Z., et al. “Direct and indirect effects of liraglutide on hypothalamic POMC and NPY/AgRP neurons - Implications for energy balance and glucose control”. Molecular Metabolism 28 (2019): 120-134.
  96. Broberger C., et al. “The neuropeptide Y/agouti gene-related protein (AGRP) brain circuitry in normal, anorectic, and monosodium glutamate-treated mice”. Proceedings of the National Academy of Sciences of the United States of America 25 (1998): 15043-15048.
  97. Beck B., et al. “Hyperphagia in obesity is associated with a central peptidergic dysregulation in rats”. Journal of Nutrition 7 (1990): 806-811.
  98. Sawchenko PE. “Toward a new neurobiology of energy balance, appetite, and obesity: the anatomists weigh in”. Journal of Comparative Neurology 4 (1998): 435-441.
  99. Swanson LW and Sawchenko PE. “Hypothalamic integration: organization of the paraventricular and supraoptic nuclei”. Annual Review of Neuroscience 6 (1983): 269-324.
  100. Watts AG. “Understanding the neural control of ingestive behaviors: helping to separate cause from effect with dehydration-associated anorexia”. Hormones and Behavior 4 (2000): 261-283.
  101. Abizaid A., et al. “Ghrelin modulates the activity and synaptic input organization of midbrain dopamine neurons while promoting appetite”. Journal of Clinical Investigation12 (2006): 3229-3239.
  102. Brunetti L., et al. “Leptin inhibits norepinephrine and dopamine release from rat hypothalamic neuronal endings”. European Journal of Pharmacology 3 (1999): 237-240.
  103. Pfaffly J., et al. “Leptin increases striatal dopamine D2 receptor binding in leptin-deficient obese (ob/ob) mice”. Synapse 7 (2010): 503-510.
  104. Muelbl MJ., et al. “Responses to drugs of abuse and non-drug rewards in leptin deficient ob/ob mice”. Psychopharmacology (Berl)14 (2016): 2799-2811.
  105. Naleid A., et al. “Ghrelin induces feeding in the mesolimbic reward pathway between the ventral tegmental area and the nucleus accumbens”. Peptides 11 (2005): 2274-2279.
  106. Berthoud HR. “Multiple neural systems controlling food intake and body weight”. Neuroscience and Biobehavioral Reviews 4 (2002): 393-428.
  107. Furness JB., et al. “Dopamine and ghrelin receptor co-expression and interaction in the spinal defecation centers”. Neurogastroenterology and Motility 2 (2020): e14051.
  108. Lookingland KJ and Moore KE. “Dopamine receptor-mediated regulation of Incerto hypothalamic dopaminergic neurons in the male rat”. Brain Research2 (1984): 329-338.
  109. Moore KE. “Differential regulation of dopaminergic neurons in the mammalian brain: a brief review”. The Chinese Journal of Physiology1 (1992): 67-76.
  110. Annunziato L. “Regulation of the tuberoinfundibular and nigrostriatal systems. Evidence for different kinds of dopaminergic neurons in the brain”. Neuroendocrinology1 (1979): 66-76.
  111. Demarest KT and Moore KE. “Comparison of dopamine synthesis regulation in the terminals of nigrostriatal, mesolimbic, tuberoinfundibular and tuber hypophyseal neurons”. Journal of Neural Transmission4 (1979): 263-277.
  112. Schulte EM., et al. “Which foods may be addictive? The roles of processing, fat content, and glycemic load”. PLoS One 2 (2015): e0117959.
  113. Blum K., et al. “"Liking" and "wanting" linked to Reward Deficiency Syndrome (RDS): hypothesizing differential responsivity in brain reward circuitry”. Current Pharmaceutical Design 1 (2012): 113-118.
  114. Szczypka MS., et al. “Dopamine is required for hyperphagia in Lep (ob/ob) mice”. Nature Genetics 1 (2000): 102-104.
  115. Hoebel BG. “Brain neurotransmitters in food and drug reward”. American Journal of Clinical Nutrition 5 (1985): 1133-1150.
  116. Gold MS and Avena NM. “Animal models lead the way to further understanding food addiction as well as providing evidence that drugs used successfully in addictions can be successful in treating overeating”. Biological Psychiatry 7 (2013): e11.
  117. Avena NM., et al. “Why are we consuming so much sugar despite knowing too much can harm us?” JAMA Internal Medicine 1 (2015): 145-146.
  118. Zhang Y., et al. “Obesity: pathophysiology and intervention”. Nutrients 11 (2014): 5153-5183.
  119. Blum K., et al. “Dopamine and glucose, obesity, and reward deficiency syndrome”. Frontiers in Psychology 5 (2014): 919.
  120. Avena NM., et al. “Effects of baclofen and naltrexone, alone and in combination, on the consumption of palatable food in male rats”. Experimental and Clinical Psychopharmacology 5 (2014): 460-467.
  121. Avena NM., et al. “The next generation of obesity treatments: beyond suppressing appetite”. Frontiers in Psychology 4 (2013): 721.
  122. Yarnell S., et al. “Pharmacotherapies for overeating and obesity”. Journal of Genetic Syndromes and Gene Therapy 3 (2013): 131.
  123. Avena NM., et al. “Comparing the effects of food restriction and overeating on brain reward systems”. Experimental Gerontology 10 (2013): 1062-1067.
  124. Avena NM., et al. “Tossing the baby out with the bathwater after a brief rinse? The potential downside of dismissing food addiction based on limited data”. Nature Reviews Neurosciences 7 (2012): 514.
  125. Avena NM., et al. “Further developments in the neurobiology of food and addiction: update on the state of the science”. Nutrition 4 (2012): 341-343.
  126. Avena NM., et al. “Overlaps in the nosology of substance abuse and overeating: the translational implications of "food addiction"”. Current Drug Abuse Reviews 3 (2011): 133-139.
  127. Johnson RJ., et al. “Attention-deficit/hyperactivity disorder: is it time to reappraise the role of sugar consumption?” Postgraduate Medicine 5 (2011): 39-49.
  128. Avena NM and Gold MS. “Variety and hyperpalatability: are they promoting addictive overeating?” American Journal of Clinical Nutrition 2 (2011): 367-368.
  129. Avena NM and Gold MS. “Food and addiction - sugars, fats and hedonic overeating”. Addiction7 (2011): 1214-1215.
  130. Murray SM., et al. “Insights revealed by rodent models of sugar binge eating”. CNS Spectrums 6 (2015): 530-537.
  131. Hirth N., et al. “Convergent evidence from alcohol-dependent humans and rats for a hyperdopaminergic state in protracted abstinence”. Proceedings of the National Academy of Sciences of the United States of America 11 (2016): 3024-3029.
  132. Xu Q., et al. “Population transcriptomics uncovers the regulation of gene expression variation in adaptation to changing environment”. Scientific Reports 6 (2016): 25536.
  133. Nieoullon A., et al. “Contribution to the study of nigrostriatal dopaminergic neuron activity using electrochemical detection of dopamine release in the striatum of freely moving animals”. Annals of the New York Academy of Sciences 1 (1986): 126-140.
  134. Salimpoor VN., et al. “Anatomically distinct dopamine release during anticipation and experience of peak emotion to music”. Nature Neuroscience2 (2011): 257-262.
  135. Blum K., et al. “Hypothesizing music intervention enhances brain functional connectivity involving dopaminergic recruitment: common neuro-correlates to abusable drugs”. Molecular Neurobiology 5 (2017): 3753-3738.
  136. Xu Q., et al. “Population transcriptomics uncovers the regulation of gene expression variation in adaptation to changing environment”. Scientific Reports 6 (2016): 25536.
  137. Korchounov A., et al. “Postsynaptic nigrostriatal dopamine receptors and their role in movement regulation”. Journal of Neural Transmission (Vienna)12 (2010): 1359-1369.
  138. Salimpoor VN., et al. “Predictions and the brain: how musical sounds become rewarding”. Trends in Cognitive Sciences 2 (2015): 86-91.
  139. Solanki N., et al. “Administration of a putative pro-dopamine regulator, a neuronutrient, mitigates alcohol intake in alcohol-preferring rats”. Behavioural Brain Research 385 (2020): 112563.
  140. Speakman JR. “Thrifty genes for obesity and the metabolic syndrome--time to call off the search?” Diabetes and Vascular Disease Research 1 (2006): 7-11.
  141. Prentice AM., et al. “Evolutionary origins of the obesity epidemic: natural selection of thrifty genes or genetic drift following predation release?” International Journal of Obesity (London)11 (2008): 1607-1610.
  142. Hernandez L and Hoebel BG. “Feeding can enhance dopamine turnover in the prefrontal cortex”. Brain Research Bulletin 6 (1990): 975-979.
  143. Kelley AE., et al. “Opioid modulation of taste hedonics within the ventral striatum”. Physiology and Behavior 3 (2002): 365-377.
  144. Le Magnen J. “Control of eating behaviour”. Baillière's Clinical Gastroenterology 1 (1988): 169-182.
  145. Volkow ND and Wise RA. “How can drug addiction help us understand obesity?” Nature Neuroscience 5 (2005): 555-560.
  146. Wise RA., et al. “Facilitation of feeding by nucleus accumbens amphetamine injections: latency and speed measures”. Pharmacology Biochemistry and Behavior 3 (1989): 769-772.
  147. Kalivas PW and Volkow ND. “The neural basis of addiction: a pathology of motivation and choice”. American Journal of Psychiatry8 (2005): 1403-1413.
  148. Koob GF and Le Moal M. “Plasticity of reward neurocircuitry and the 'dark side' of drug addiction”. Nature Neuroscience 11 (2005): 1442-1444.
  149. Mogenson GJ and Yang CR. “The contribution of basal forebrain to limbic-motor integration and the mediation of motivation to action”. Advances in Experimental Medicine and Biology 295 (1991): 267-290.
  150. Baldo BA., et al. “Control of fat intake by striatal opioids”. In: Montmayeur JP, le Coutre J (Eds.). Fat Detection: Taste, Texture, and Post Ingestive Effects. Boca Raton, FL: CRC Press (2010).
  151. Simpson N., et al. “Dopamine-mediated autocrine inhibitory circuit regulating human insulin secretion in vitro”. Molecular Endocrinology 10 (2012): 1757-1772.
  152. Spangler R., et al. “Opiate-like effects of sugar on gene expression in reward areas of the rat brain”. Brain Research. Molecular Brain Research 2 (2004): 134-142.
  153. Schoffelmeer AN., et al. “Morphine acutely and persistently attenuates nonvesicular GABA release in rat nucleus accumbens”. Synapse2 (2001): 87-94.
  154. Stein L and Belluzzi JD. “Brain endorphins: possible role in reward and memory formation”. Federation Proceedings 11 (1979): 2468-2472.
  155. Wiss DA., et al. “Food addiction and psychosocial adversity: biological embedding, contextual factors, and public health implications”. Nutrients11 (2020): 3521.
  156. Hill JO., et al. “Neurocognition: the food-brain connection”. Advances in Nutrition 5 (2014): 544-546.
  157. Blum K., et al. “Common neurogenetic diagnosis and meso-limbic manipulation of hypodopaminergic function in reward deficiency syndrome (RDS): Changing the recovery landscape”. Current Neuropharmacology 1 (2017): 184-194.
  158. Kotyuk E., et al. “Co-occurrences of substance use and other potentially addictive behaviors: Epidemiological results from the Psychological and Genetic Factors of the Addictive Behaviors (PGA) Study”. Journal of Behavioral Addictions 2 (2020): 272-288.
  159. Gold MS., et al. “A shared molecular and genetic basis for food and drug addiction: overcoming hypodopaminergic trait/state by incorporating dopamine agonistic therapy in psychiatry”. Psychiatric Clinics of North America 3 (2015): 419-462.
  160. Ram A., et al. “Bulimia nervosa and substance use disorder: similarities and differences”. Eating Disorders 3 (2008): 224-240.
  161. Mann AP., et al. “Factors associated with substance use in adolescents with eating disorders”. Journal of Adolescent Health 2 (2014): 182-187.
  162. Jordan J., et al. “Anxiety and psychoactive substance use disorder comorbidity in anorexia nervosa or depression”. International Journal of Eating Disorders 2 (2003): 211-219.
  163. Thanos PK., et al. “Bromocriptine increased operant responding for high fat food but decreased chow intake in both obesity-prone and resistant rats”. Behavioural Brain Research 1 (2011): 165-170.
  164. Thanos PK., et al. “Obesity-resistant S5B rats showed greater cocaine conditioned place preference than the obesity-prone OM rats”. Physiology and Behavior 5 (2010): 713-718.
  165. Tomasi D., et al. “Association of body mass and brain activation during gastric distention: implications for obesity”. PLoS One 8 (2009): e6847.
  166. Wang GJ., et al. “Imaging of brain dopamine pathways: implications for understanding obesity”. Journal of Addiction Medicine 1 (2009): 8-18.
  167. Davis LM., et al. “Bromocriptine administration reduces hyperphagia and adiposity and differentially affects dopamine D2 receptor and transporter binding in leptin-receptor-deficient Zucker rats and rats with diet-induced obesity”. Neuroendocrinology 2 (2009): 152-162.
  168. Wang GJ., et al. “Evidence of gender differences in the ability to inhibit brain activation elicited by food stimulation”. Proceedings of the National Academy of Sciences of the United States of America 4 (2009): 1249-1254.
  169. Volkow ND., et al. “Inverse association between BMI and prefrontal metabolic activity in healthy adults”. Obesity (Silver Spring) 1 (2009): 60-65.
  170. Volkow ND., et al. “Overlapping neuronal circuits in addiction and obesity: evidence of systems pathology”. Philosophical Transactions of the Royal Society B: Biological Sciences 1507 (2008): 3191-3200.
  171. Volkow ND., et al. “Low dopamine striatal D2 receptors are associated with prefrontal metabolism in obese subjects: possible contributing factors”. Neuroimage4 (2008): 1537-1543.
  172. Thanos PK., et al. “Leptin receptor deficiency is associated with upregulation of cannabinoid 1 receptors in limbic brain regions”. Synapse 9 (2008): 637-642.
  173. Thanos PK., et al. “Differences in response to food stimuli in a rat model of obesity: in-vivo assessment of brain glucose metabolism”. International Journal of Obesity (London)7 (2008): 1171-1179.
  174. Thanos PK., et al. “The effects of two highly selective dopamine D3 receptor antagonists (SB-277011A and NGB-2904) on food self-administration in a rodent model of obesity”. Pharmacology Biochemistry and Behavior 4 (2008): 499-507.
  175. Thanos PK., et al. “Food restriction markedly increases dopamine D2 receptor (D2R) in a rat model of obesity as assessed with in-vivo muPET imaging ([11C] raclopride) and in-vitro ([3H] spiperone) autoradiography”. Synapse1 (2008): 50-61.
  176. Wang GJ., et al. “Gastric stimulation in obese subjects activates the hippocampus and other regions involved in brain reward circuitry”. Proceedings of the National Academy of Sciences of the United States of America 42 (2006): 15641-15645.
  177. Wang GJ., et al. “Similarity between obesity and drug addiction as assessed by neurofunctional imaging: a concept review”. Journal of Addictive Diseases 3 (2004): 39-53.
  178. Wang GJ., et al. “Exposure to appetitive food stimuli markedly activates the human brain”. Neuroimage 4 (2004): 1790-1797.
  179. Wang GJ., et al. “The role of dopamine in motivation for food in humans: implications for obesity”. Expert Opinion on Therapeutic Targets5 (2002): 601-609.
  180. Wang GJ., et al. “Enhanced resting activity of the oral somatosensory cortex in obese subjects”. Neuroreport 9 (2002): 1151-1155.
  181. Volkow ND., et al. “Reward, dopamine and the control of food intake: implications for obesity”. Trends in Cognitive Sciences 1 (2011): 37-46.
  182. Wang GJ., et al. “Enhanced striatal dopamine release during food stimulation in binge eating disorder”. Obesity (Silver Spring) 8 (2011): 1601-1608.
  183. Michaelides M., et al. “PET imaging predicts future body weight and cocaine preference”. Neuroimage2 (2012): 1508-1513.
  184. Michaelides M., et al. “Translational neuroimaging in drug addiction and obesity”. ILAR Journal 1 (2012): 59-68.
  185. Michaelides M., et al. “Dopamine-related frontostriatal abnormalities in obesity and binge-eating disorder: emerging evidence for developmental psychopathology”. International Review of Psychiatry 3 (2012): 211-218.
  186. Thanos PK., et al. “Gastric bypass increases ethanol and water consumption in diet-induced obese rats”. Obesity Surgery 12 (2012): 1884-1892.
  187. Volkow ND., et al. “Obesity and addiction: neurobiological overlaps”. Obesity Reviews 1 (2013): 2-18.
  188. Thanos PK., et al. “Obese rats with deficient leptin signaling exhibit heightened sensitivity to olfactory food cues”. Synapse4 (2013): 171-178.
  189. Volkow ND., et al. “The addictive dimensionality of obesity”. Biological Psychiatry 9 (2013): 811-818.
  190. Wang GJ., et al. “Effect of combined naltrexone and bupropion therapy on the brain's reactivity to food cues”. International Journal of Obesity (London)5 (2014): 682-688.
  191. Tomasi D., et al. “Overlapping patterns of brain activation to food and cocaine cues in cocaine abusers: association to striatal D2/D3 receptors”. Human Brain Mapping 1 (2015): 120-136.
  192. Zhang Y., et al. “Recovery of brain structural abnormalities in morbidly obese patients after bariatric surgery”. International Journal of Obesity (London)10 (2016): 1558-1565.
  193. Thanos PK., et al. “Roux-en-Y gastric bypass alters brain activity in regions that underlie reward and taste perception”. PLoS One6 (2015): e0125570.
  194. Thanos PK., et al. “Dopamine D2 gene expression interacts with environmental enrichment to impact lifespan and behavior”. Oncotarget15 (2016): 19111-19123.
  195. Liu YY., et al. “Dopamine is involved in food-anticipatory activity in mice”. Journal of Biological Rhythms 5 (2012): 398-409.
  196. Stice E., et al. “Weight gain is associated with reduced striatal response to palatable food”. Journal of Neuroscience 39 (2010): 13105-13109.
  197. Stice E and Yokum S. “Brain reward region responsivity of adolescents with and without parental substance use disorders”. Psychology of Addictive Behaviors 3 (2014): 805-815.
  198. Carpenter CL., et al. “Association of dopamine D2 receptor and leptin receptor genes with clinically severe obesity”. Obesity (Silver Spring)9 (2013): E467-E473.
  199. Wright KN., et al. “Methyl supplementation attenuates cocaine-seeking behaviors and cocaine-induced c-Fos activation in a DNA methylation-dependent manner". Journal of Neuroscience 23 (2015): 8948-8958.
  200. Badgaiyan RD., et al. “Attenuated tonic and enhanced phasic release of dopamine in attention deficit hyperactivity disorder”. PLoS One9 (2015): e0137326.
  201. Schulte EM., et al. “Which foods may be addictive? The roles of processing, fat content, and glycemic load”. PLoS One2 (2015): e0117959.
  202. Wiss DA., et al. “Preclinical evidence for the addiction potential of highly palatable foods: Current developments related to maternal influence”. Appetite 115 (2017): 19-27.
  203. Ambros V. “The functions of animal microRNAs”. Nature7006 (2004): 350-355.
  204. Syvälahti EK., et al. “Striatal D(2) dopamine receptor density and psychotic symptoms in schizophrenia: a longitudinal study”. Schizophrenia Research 2-3 (2000): 159-161.
  205. Blum K., et al. “Increased prevalence of the Taq I A1 allele of the dopamine receptor gene (DRD2) in obesity with comorbid substance use disorder: a preliminary report”. Pharmacogenetics 4 (1996): 297-305.
  206. Febo M., et al. “Enhanced functional connectivity and volume between cognitive and reward centers of naïve rodent brain produced by pro-dopaminergic agent KB220Z”. PLoS ONE4 (2017): e0174774.
  207. Fried L., et al. “Hypodopaminergia and "precision behavioral management" (PBM): It is a generational family affair”. Current Pharmaceutical Biotechnology 6 (2020): 528-541.
  208. Blum K., et al. “Biotechnical development of genetic addiction risk score (GARS) and selective evidence for inclusion of polymorphic allelic risk in substance use disorder (SUD)”. Journal of Systems and Integrative Neuroscience 2 (2020).

Kenenth Blum., et al. “Inducing Dopamine Homeostasis to Combat Brain-Gut Functional Impairment as a Function of Behavioral and Neurogenetic Correlates of Reward Deficiency Syndrome (RDS)”. EC Neurology  17.11 (2025): 01-25.