Next Article in Journal
Endotracheal Intubation Using C-MAC Video Laryngoscope vs. Direct Laryngoscope While Wearing Personal Protective Equipment
Next Article in Special Issue
Genetic Addiction Risk and Psychological Profiling Analyses for “Preaddiction” Severity Index
Previous Article in Journal
Patient-Reported Postoperative Pain and Numbness: Applications for Endoscopic vs. Microscopic Ear Surgery
Previous Article in Special Issue
Job-Related Performance and Quality of Life Benefits in First Responders Given Access to H-Wave® Device Stimulation: A Retrospective Cohort Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Commentary

Should Reward Deficiency Syndrome (RDS) Be Considered an Umbrella Disorder for Mental Illness and Associated Genetic and Epigenetic Induced Dysregulation of Brain Reward Circuitry?

1
The Kenneth Blum Behavioral & Neurogenetic Institute, LLC., Austin, TX 78701, USA
2
Center for Behavioral Health & Sports, Exercise, Psychiatry, Western University Health Sciences, Pomona, CA 91766, USA
3
Institute of Psychology, ELTE Eötvös Loránd University, Kazinczy u. 23–27, 1075 Budapest, Hungary
4
Department of Molecular Biology and Adelson School of Medicine, Ariel University, Ariel 40700, Israel
5
Department of Family Medicine, Jefferson Health Northeast, Philadelphia, PA 19140, USA
6
Medicine, Boston Children’s Hospital, Boston, MA 02115, USA
7
Cambridge Health Alliance, Harvard Medical School, Cambridge, MA 02139, USA
8
Behavioral Neuropharmacology and Neuroimaging Laboratory, Department of Pharmacology and Toxicology, Jacobs School of Medicine and Biomedical Sciences, Clinical Research Institute on Addictions, University at Buffalo, Buffalo, NY 14203, USA
9
Department of Psychology, University at Buffalo, Buffalo, NY 14260, USA
10
Department of Psychiatry, South Texas Veteran Health Care System, Audie L. Murphy Memorial VA Hospital, Long School of Medicine, University of Texas Medical Center, San Antonio, TX 78229, USA
11
Division of Precision Nutrition, Victory Nutrition International, LLC., Lederoch, PA 19438, USA
12
Department of Pharmaceutical Science, College of Pharmacy & Health Sciences, Texas Southern University, Houston, TX 77004, USA
13
Future Biologics, Lawrenceville, GA 30043, USA
14
Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology, Nonakuri, Purba Medinipur 721172, India
15
Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
*
Author to whom correspondence should be addressed.
Senior author.
J. Pers. Med. 2022, 12(10), 1719; https://doi.org/10.3390/jpm12101719
Submission received: 13 June 2022 / Revised: 11 October 2022 / Accepted: 11 October 2022 / Published: 14 October 2022

Abstract

:
Reward Deficiency Syndrome (RDS) is defined as a breakdown of reward neurotransmission that results in a wide range of addictive, compulsive, and impulsive behaviors. RDS is caused by a combination of environmental (epigenetic) influences and DNA-based (genetic) neurotransmission deficits that interfere with the normal satisfaction of human physiological drives (i.e., food, water, and sex). An essential feature of RDS is the lack of integration between perception, cognition, and emotions that occurs because of (1) significant dopaminergic surges in motivation, reward, and learning centers causing neuroplasticity in the striato-thalamic-frontal cortical loop; (2) hypo-functionality of the excitatory glutamatergic afferents from the amygdala–hippocampus complex. A large volume of literature regarding the known neurogenetic and psychological underpinnings of RDS has revealed a significant risk of dopaminergic gene polymorphic allele overlap between cohorts of depression and subsets of schizophrenia. The suggestion is that instead of alcohol, opioids, gambling disorders, etc. being endophenotypes, the true phenotype is RDS. Additionally, reward deficiency can result from depleted or hereditary hypodopaminergia, which can manifest as a variety of personality traits and mental/medical disorders that have been linked to genetic studies with dopamine-depleting alleles. The carrying of known DNA antecedents, including epigenetic insults, results in a life-long vulnerability to RDS conditions and addictive behaviors. Epigenetic repair of hypodopaminergia, the causative basis of addictive behaviors, may involve precision DNA-guided therapy achieved by combining the Genetic Addiction Risk Severity (GARS) test with a researched neutraceutical having a number of variant names, including KB220Z. This nutraceutical formulation with pro-dopamine regulatory capabilities has been studied and published in peer-reviewed journals, mostly from our laboratory. Finally, it is our opinion that RDS should be given an ICD code and deserves to be included in the DSM-VI because while the DSM features symptomology, it is equally important to feature etiological roots as portrayed in the RDS model.

1. Introduction

Reward Deficiency Syndrome (RDS) involves many mental health disorders rather than being treated as a unique and independent mental illness. These disorders include a wide range of addictive, compulsive, and impulsive behaviors. RDS, also characterized as an octopus of behavioral dysfunction, refers to abnormal behavior caused by a failure of the reward neurotransmission cascade as a result of genetic and environmental (epigenetic) effects. RDS interferes with the usual satisfaction of human physiological drives, such as the experience of pleasure associated with food and water consumption and sexual reproduction [1]. Epigenetic repair of hypodopaminergia, the causative basis of addicitive behaviors, may involve precision DNA-guided therapy achieved by combining the Genetic Addiction Risk Severity (GARS) test with KB220, a nutraceutical formulation with pro-dopamine regulatory capabilities established in at least 50 clinical trials [2,3,4,5]. In fact, in our latest annotated bibliography that has been peer-reviewed, there are at least 50 studies involving positive clinical outcomes based on various types of trials [5].
Although independent additional studies are merited to provide further validation, a large volume of literature regarding the known neurogenetic and psychological underpinnings of RDS has revealed a significant risk of dopaminergic gene polymorphic allele overlap between cohorts of depression and subsets of schizophrenia [6]. The suggestion is that instead of alcohol, opioids, gambling disorders, or overeating being endophenotypes, the true phenotype is RDS [7,8]. Furthermore, RDS may be fundamental to species evolution and survival, with an array of many neurotransmitter-polymorphic loci influencing dopaminergic net functionality [9,10]. Unfortunately, most of the evidence in terms of genetic aspects has come from our laboratory, but its acceptance is slowly being embraced.
Although not yet in the Diagnostic and Statistical Manual for Mental Disorders (DSM), RDS refers to the breakdown of the reward neurotransmission and destructive behaviors initiated by the combination of environmental (epigenetic) influences and DNA-based neurotransmission deficits that interfere with the usual achievement of the satisfaction of human physiological drives such as food, water, and sex [11]. The foundation of the RDS concept was initially established by Blum et al., who discovered that the A1 (minor) allele of the D2 dopamine receptor (DRD2) gene is linked to severe alcoholism, smoking, obesity, and other substance and non-substance disordered behaviors [12,13]. The purpose of this article is to explore the RDS behavioral model and the potential for treatment it may provide. RDS is now a featured psychological disorder and the subject of global research with 229 listings in Pubmed (10-3-22), 47% of which are independent of Blum’s laboratory, and 1466 listings when using the term “reward deficiency”, with only 134 from Blum’s laboratory. Specifically, 91.4% of these articles are independent of Blum’s group.
The disease concept of alcoholism was first proposed by E.M. Jellinek in 1946 [14]. However, this concept was initially met with suspicion and was not generally accepted due to a lack of scientific support [14]. However, during this time, the scientific and medical community agreed, in part, that deficits or imbalances in brain chemistry, perhaps genetic in origin, contributed to the development of alcoholism and other addictions, although this ideology was still controversial [15]. According to Pickard, “Conceptual clarification and preliminary empirical assessment of the Brain Disease Model of Addiction (BDMA) recommends agnosticism about its validity and an openness to heterogeneity; in some cases, addiction may be a brain disease, in others not. Either way, addiction stigma can be combatted by fighting moralism about drugs and moralistic drug policies directly, as opposed to resting hopes on the brain disease label”. To this retort, we simply respond that, while some people do not carry any polymorphisms related to neurotransmitter dysfunction, especially those associated with causing imbalances of dopamine in the meso-limbic center of the brain, the carrying of known DNA antecedents, including epigenetic insults, results in a life-long vulnerability to overall RDS conditions and especially addictive behaviors. Undoubtably, this is a brain disorder, and agnosticism would negate the thousands of highly sophisticated studies published in high-quality journals. There is definitely heterogeneity, as discussed above.
In the early 1960s, the interrelatedness of reward circuitry and the prefrontal cortices of the brain was not well understood. The core neurotransmitters were unknown. Serotonin, GABA, dopamine, acetylcholine, were not well characterized, and endorphins were not a part of the scientific acumen. Following Blum’s initial conceptualization of RDS in 1995, Blum et al. used the Bayesian Theorem [16] to find that carriers of the DRD2 A1 allele had a predictive value of 74.4% for future RDS behaviors such as substance use disorder (SUD), obesity, and shopping addiction. The number of genes associated with reward has significantly increased over time, especially from large gene-wide association studies (GWAS) involving millions of subjects [17,18]. In fact, in terms of major depression, transcriptome-wide association research analyses of major depression indicated significant correlations with the expression of DRD2 in the nucleus accumbens (NAc) and NEGR1 in the hypothalamus, among others. However, our laboratory has adopted an alternative approach involving finite pathways as candidates instead [19].
The proper release of dopamine occurs as a result of the cascading interaction of second messengers and neurotransmitters inside the NAc and across numerous brain regions. These regions are involved in cognition (memory), recall, motivation, decision-making, pleasure, wellbeing, stress reduction, drug reinstatement, and cravings. The end result is to establish dopamine homeostasis (i.e., the usual happiness setpoint) in homo sapiens [20], which is reflected in the resting-state functional connectivity (rsFC) in neuroimaging studies [21].

2. RDS Criteria

In the neurophysiologic reward system, repeated frequent acute dopamine stimulation becomes chronic stimulation and leads to a dysfunctional hypodopaminergic state, rendering the reward system less responsive to natural reinforcers, a symptom of RDS [22]. The stimulation can be from euphorigenic substances, non-substances like gambling, or severe stressors like pain and anxiety. Chronic stimulation causes dopamine depletion (hypodopaminergia). Reward deficiency results from depleted or hereditary hypodopaminergia, potentially reflected in a host of personality traits and mental and medical disorders that have been associated in genetic studies with dopamine depleting alleles. These symptoms and disorders create the diagnostic criteria for RDS and include, but are not limited to, novelty-seeking, schizophrenia, obesity, chronic pain, posttraumatic stress disorder (PTSD), major depression, and attention deficit hyperactivity disorder, among others (Table 1) [23]. Based on only counting alleles, albeit showing high risk if an individual carries at least four total polymorphic alleles for drug misuse and seven for alcoholism as determined against the ASI-MV 111. In terms of total overall risk for RDS behaviors, we trichotomized the resultant measured possibilities to express Mild, Moderate, Severe, and Profound risk.
As alluded to above, reward deficiencies may also occur in the absence of dopaminergic stimulation by exogenous factors due to specific polymorphic alleles that alter the function of genes in the reward cascade. One example is the A1 allele of the D2 dopamine receptor gene that causes a reduced number of dopamine receptors in the mesolimbic NAc [13,24]. An essential feature of RDS is the lack of integration between perception, cognition, and emotions occurring as a result of (1) significant dopaminergic surges in motivation, reward, and learning centers causing neuroplasticity in the striato-thalamic-frontal cortical loop, with ensuing top-down dissociation from the subcortical activity; (2) hypo-functionality of the excitatory glutamatergic afferents from the amygdala-hippocampus complex failing to generate bottom-up restraint of the striato-thalamic-frontal cortical loop [25,26].
Co-occurrences, similarities in the phenomenological and behavioral appearance, and empirical studies of some shared psychological and molecular mechanisms of addictive behaviors indicate a more integrative approach to the concept of addictive behaviors. The aim of one notable study was to investigate the possible genetic overlaps between different types of substance use, behavioral addictions, and other compulsive behaviors. A genetic association analysis was carried out as a part of the Psychological and Genetic Factors of Addictions (PGA) study [27] to assess several types of addictions in a sample of 3003 adolescent participants. The genetic association analyses focused on 32 SNPs, addictive substances (alcohol, tobacco, marijuana, and other illicit drugs), and potentially addictive behaviors (internet use, gaming, social media use, gambling, exercise, trichotillomania, and eating disorders). The association analysis revealed 29 nominally significant associations, of which nine survived the FDRbl correction for multiple testing. Four out of these nine significant associations were observed between a FOXN3 SNP and various addictions: rs759364 showed an association with the frequency of alcohol consumption and the mean scores of the internet use, gaming, and exercise addiction questionnaires. Significant associations have been found between GDNF rs1549250, rs2973033, CNR1 rs806380, and DRD2/ANKK1 rs1800497 variants and the “Lifetime Other drugs” variable [28].
In recent years, more and more scientific research emphasizes the overlaps between the symptomatology of different types of addictions. Theoretical models of addictive disorders handling “addictions” as a common disorder instead of distinct disorders have already been proposed in the 80s [29]. More recent research also encourages considering addiction not as a collection of different disorders [30], but as a symbolical umbrella under which all addiction types can be classified. Furthermore, the Obsessive-Compulsive Spectrum Disorder (OCSD) model by Hollander suggests a shared obsessive-compulsive spectrum in the background of psychiatric diseases of different diagnostic categories [31]. In addition, Blum proposed the concept of RDS in 1996, claiming that the development of impulsive and addictive behaviors shares some common psychological and molecular pathways [32]. Focusing on the phenomenological aspects, the Component Model of Addictions by Griffiths [33] argues that all addictions share six basic characteristics. Empirical studies underlie the concept of shared psychological and molecular mechanisms proposed in these models. For example, tolerance is one of the key criteria for many types of addiction as it takes a higher dose of the substance or behavior to achieve the same effect as earlier. Even a gambler may experience physical symptoms that are similar to either stimulant, opioid, or poly-substance withdrawal [34,35]. Furthermore, withdrawal symptoms, craving, impaired social, occupational, or recreational ability, and unsuccessful quitting attempts are key elements in many addictions, but the maintenance of these RDS behaviors may be a function of epigenetic insults [36,37].
The classification and the diagnostic criteria of addictive behaviors in the fifth edition of the DSM (DSM-5; American Psychiatric Association, 2013) and the eleventh revision of the International Classification of Diseases (ICD-11; World Health Organization, 2018) also reflect the phenomenological similarities of these behaviors. The revised DSM-5 contains the updated classification “Substance-related and Addictive Disorders”, replacing the “Substance-related Disorders” category from the DSM-IV-TR. In addition, gambling disorder is also included in the DSM-5 under the Non-Substance Related Disorders category of Substance-Related and Addictive Disorders. The new “Substance-related and Addictive Disorders” terminology in the DSM-5 is much more permissive in regard to behavioral addictions. The same trend can be seen in ICD-11, in which gambling and gaming disorders were both included under the classification of psychiatric disorders [38].

3. RDS Is a Behavioral Octopus

Results of family, twin, and adoption studies estimate the heritability (i.e., the overall genetic contribution) of addictions to be 50–70%, and more recently, with cannabis use disorder [39]. The brain’s reward system has a great impact on behavioral control and plays an important role in the pathophysiology of addictive behaviors. Dopaminergic and serotonergic neurotransmitter systems involved in these reward pathways are at the center of attention in candidate gene studies of substance abuse, non-substance addictions, and various risk behavior-related traits such as novelty seeking, impulsivity, or aggressive behavior [40,41]. Functional neuroimaging studies have shown that cocaine, money, and beauty similarly energize the reward circuitry of the brain [42], implying that similar neurobiological pathways are stimulated in the brain regardless of the object of the addiction [43]. The release of dopamine in the NAc during rewarding experiences provides reinforcement to motivate such activities. Serotonin modulates the reward pathway and is also involved in emotion and behavior regulation [44].
Genetic factors may also influence how and when individuals develop addictive behaviors by affecting the sensitivity to drug effects at first use. However, it is further modified by epigenetic mechanisms, which could be prevalent for at least F2 generations [45]. In our opinion, although it may not be universally accepted as of yet, one of the broadly accepted hypotheses in the development of addiction is the RDS, postulating that decreased dopamine receptor density or sensitivity in the brain causes a weaker reward-sensation and, to compensate for it, individuals develop various types of behaviors to increase their dopamine levels [46]. We are cognizant that dopamine is not the singular cause of any addictive behavior and that it is indeed the interrelatedness of at least seven major neurotransmitter systems (see Figure 1) and possibly hundreds of second messengers. The syndrome consists of a variety of compulsive, addictive, and impulsive behaviors (i.e., drug addiction, compulsive eating, smoking, gambling, sex addiction, internet gaming). To be clear, it is indeed the interrelatedness of at least eight major neurotransmitter pathways working in concert to release dopamine at the NAc (Figure 1).
Mental health disorders are health conditions that cause changes in thinking, emotions, or behavior. Mental health disorders and mental illnesses are distinguished by the etiology of their conditions. Furthermore, mental illnesses are diagnosed by a medical professional and characterized as bodily diseases that significantly impair emotional, cognitive, or social abilities. Mental illnesses occur with varying severity and include mood disorders (i.e., anxiety, depression, and bipolar disorder), psychiatric conditions (i.e., personality disorders), and psychotic disorders (i.e., schizophrenia and eating disorders).
Currently, the DSM is the definitive resource for all mental disorders. The DSM-5 includes diagnostic criteria for SUD that distinguish between SUD and substance-induced disorders. SUD criteria are based on the harmful consequences of repeated use, but substance-induced disorders include intoxication, tolerance, compulsive use, and/or withdrawal. Concurrently, genetic covariance between substance and non-substance disordered individuals can be the result of individuals carrying reward gene allele variations (polymorphisms). Thousands of studies, cases, reviews, and meta-analyses show significant dopaminergic gene polymorphism overlaps between RDS and many psychiatric illnesses, although additional research is merited (Figure 2). This genetic covariance amongst individuals due to genetic polymorphisms can be utilized to predict phenotypic responses to environmental circumstances.
While actual data on the effect of KB220 variants on either epigenetic induced histone acetylation or methylation has not as yet been accomplished, indirect inference can be gleaned from the following summarized published reports. It is widely acknowledged that in both food and drug-addicted individuals, there is dopamine resistance because of an association with the DRD2 gene A1 allele [47,48,49]. Evidence is emerging for utilizing a natural, non-addicting, safe, putative D2 agonist as a means to recover from reward deficiency syndrome (RDS) for patients addicted to psychoactive chemicals [49]. As mentioned earlier, our laboratory has conducted a number of clinical trials, everything from triple-blinded to double-blinded placebo-controlled, randomized controlled trials, neuroimaging studies, case series, and other notable trials (see [5]). The following retort briefly summarizes a number of these studies, all peer reviewed and published to date. The KB220 variant had a number of variants with different trade names since its basic inception in the late 70 s, which unfortunately is confusing.
Quantitative electroencephalography (qEEG) as an imaging tool revealed the impact of Synaptamine Complex Variant KB220 containing DLPA as a putative activator of the mesolimbic system [48,49,50]. Other work utilizing the KB220 variant, administered via an intravenous injection, decreases or “normalizes” aberrant electrophysiological parameters of the reward circuitry site [51]. In that published pilot study [51], it has been found that the qEEG’s of a heroin abuser and an alcoholic demonstrate abnormalities (widespread alpha and theta activity, respectively) during protracted abstinence; however, their qEEG’s were significantly normalized by the administration of 1 intravenous dose of Synaptamine Complex Variant KB220Z. Specifically, both patients were genotyped for a variety of neurotransmitter reward genes to ascertain the extent of putative dopaminergic risk alleles they carry that may predispose them to heroin or alcohol dependence, respectively. The tested genes included the dopamine transporter (DAT1, locus symbol SLC6 A3), DRD2 TaqIA (rs1800497), dopamine D4 receptor exon 3 VNTR (DRD4), monoamine oxidase A upstream VNTR (MAOA-uVNTR), serotonin transporter linked polymorphic region (5 HTTLPR, locus symbol SLC6 A4), and COMT val158 met SNP (rs4680). Generally, the patients in this latter study showed a DNA antecedent of hypodopaminergia. These genetic results provide some rationale to support the concept of the induction of “dopamine homeostasis”. Moreover, this initial work is supported by a clinical trial on Synaptamine Complex Variant KB220 utilizing intravenous administration in more than 600 alcoholic patients, resulting in significant reductions in RDS behaviors [52]. In addition, Blum’s laboratory evaluated the natural dopaminergic agonist, KB220 intravenous (IV), and its oral variants, to enhance dopaminergic function in SUD. Our pilot experiment revealed a significant reduction in chronic symptoms, measured by the Chronic Abstinence Symptom Severity (CASS) Scale. The combined group (IV and oral) did significantly better than the oral-only group over the first week and a 30-day follow-up period. Following this, the combination was given to 129 subjects, and three factors were measured: emotion, somatic, and impaired cognition. Each had eigenvalues larger than one, and they were extracted for baseline CASS-Revised (CASS-R) variables. Paired sample t-tests for pre and post-treatment scales showed significant reductions (p = 0.00001) from pre-treatment to post-treatment. The values were t = 19.1 for emotion, t = 16.1 for somatic, and t = 14.9 for impaired cognition. A two-year follow-up of 23 subjects who experienced KB220 IV therapy, which includes at least five IV treatments over seven days and oral treatments for 30+ days, revealed that 21 (91%) of the subjects were sober at six months and 19 (82%) had no relapse. 19 (82%) subjects were sober at one year, and 18 (78%) had no relapse. 21 (91%) subjects were sober two years post-treatment, and 16 (70%) had no relapse [53].
There is evidence that modifications in synchronous neural activity between brain regions involved in reward and other cognitive functions may significantly contribute to substance-related disorders. Our previous work by Febo et al. [54] provided the first evidence demonstrating that the pro-dopaminergic nutraceutical KB220Z significantly increases (above placebo) the functional connectivity between reward and cognitive brain regions in rats. The following regions were affected: the nucleus accumbens, anterior cingulate gyrus, anterior thalamic nuclei, hippocampus, and prelimbic and infralimbic loci. In addition, significant functional connectivity, increased brain connectivity volume recruitment (potentially neuroplasticity), and dopaminergic functionality were found across the brain reward circuitry. Most importantly, increases in functional connectivity were specific to these regions and were not broadly dispersed across the brain.
Furthermore, our laboratory also showed the effect of KB220Z on reward circuitry for ten heroin addicts who were undergoing protracted abstinence (on average 16.9 months). In a placebo-controlled, randomized crossover study of KB220Z, five subjects participated in a triple-blinded experiment where the subject, the person evaluating the response to treatment, and the person administering the treatment were all blinded to the treatment that any individual subject was receiving. Additionally, nine subjects were genotyped utilizing the Genetic Addiction Risk Score (GARS) test. Previously, Blum’s group [55] preliminarily reported that KB220Z induced an increase in BOLD activation in caudate-accumbens-dopaminergic pathways relative to placebo, following a one-hour acute administration. Moreover, KB220Z also decreased resting-state activity in the putamen of abstinent heroin addicts. In the second phase of this pilot study, we noted that three brain regions were significantly activated from the resting state by KB220Z relative to placebo (p < 0.05) for all 10 abstinent heroin-dependent subjects. Enhanced functional connectivity was observed in a putative network, which includes the medial frontal gyrus, nucleus accumbens, posterior cingulate, occipital cortical areas, cerebellum, and dorsal anterior cingulate.
These results, along with other quantitative electroencephalography (qEEG) study results, suggest a putative [56] anti-craving/anti-relapse role of KB220Z in psychostimulant addiction by direct or indirect dopaminergic interaction. Recently, Willuhn et al. [57] reported that cocaine use, as well as non-substance-related addictive behaviors, increases as dopaminergic function is decreased. Chronic cocaine exposure has been associated with reductions in D2/D3 receptors and lower activation of cues in the occipital cortex and cerebellum, which was found in a PET study by Park et al. [58] Therefore, treatment strategies, such as dopamine agonist therapy that conserves dopamine function, could be an interesting approach to the prevention of relapse in psychoactive drug and behavioral addictions.
Importantly, there are a number of compounds that have been shown to inhibit the degradation of enkephalins [58]. Enkephalinase inhibitors (EIs) appear to be promising as therapeutic agents due to their analgesic properties, which are accomplished by increasing enkephalins. Endogenous EIs include peptides like opiorphin and spinorphin. Endogenous and synthetic inhibitors of enkephalin degrading enzymes have been studied in vivo utilizing standard animal models [59,60]. It is currently known that these enkephalinase inhibitors prevent the degradation of enkephalins, whereby these compounds produce naloxone reversible analgesia and potentiate the analgesia produced by enkephalins and acupuncture. D-phenylalanine has been shown to help many individuals suffering from chronic, intractable pain [61,62]. Blum’s group [47] proposed that enkephalinase inhibitors may be effective in a number of people with “endorphin deficiency diseases” such as depression, schizophrenia, convulsive disorders, and arthritis. Cheng et al. [62] revealed that the D-amino acids (DAA), diphenylalanine, and D-leucine produce naloxone reversible analgesia; electroacupuncture (EA) also produces analgesia, which is blocked by naloxone. Combining the two treatments produces an additive effect with greater analgesia than that produced by either treatment given alone. In addition, EIs may alleviate other conditions associated with decreased endorphin levels, such as alcohol/opiate withdrawal symptoms [63]. In the Blum et al. [63] review article, they point out that the consensus of the literature supports the concept that brain neurotransmitters and second messengers are involved in the net release of dopamine in the mesolimbic region, especially the nucleus accumbens (NAc). Furthermore, the release of neuronal dopamine is directly linked to motivation, anti-stress, incentive salience (wanting), and well-being. The role of dopamine in terms of alcohol withdrawal symptomology, cocaine-craving behavior, dopamine-condensation products (TIQs), and, more recently, the genetic aspects of drug-seeking and pro-dopamine regulation, provides compelling evidence of the relevant molecular neurological correlates of dopaminergic/endorphinergic mechanisms in reward circuitry due to genetic polymorphisms and epigenetic insults.
Certainly, in the face of the American opioid epidemic, the clinical consensus is to treat opioid use disorder (OUD) with life-long opioid substitution therapy. However, it has been suggested that a paradigm shift involving novel modalities, such as targeting the endorphinergic system linked to dopamine release at the NAc, leads to the induction of “dopamine homeostasis [64]”. Utilizing the known gene-environment interaction theorem P = G + E, Blum et al. [64] previously provided a clear rationale for the adoption of genetic risk testing coupled with endorphinergic/dopamine regulation to address dysfunction across the brain reward circuitry. The goal of altering resting-state functional connectivity may require a gentle “neurotransmitter fix” via enkephalinase inhibition (e.g., D-phenylalanine) to overcome self-induction of acute dopamine release via psychoactive substance misuse, resulting in chronic dopamine downregulation.
As subsets of reward deficiency, we are poised to provide novel, genetically guided therapy for endorphinergic, opioidergic, and dopaminergic deficiencies and related syndromes, utilizing “Precision Addiction Management”. In terms of the therapeutic benefits of enkephalinase inhibition, there have been a series of articles that have focused on the role of endorphins in alcoholism [29]. One of these articles revealed that alcohol consumption significantly decreases leuenkephalin synthesis in brain circuits [65]. In a related article, it was also found that alcohol intake in genetically bred ethanol-preferring or ethanol-averse mice was found to be an inverse function of the amount of brain methionine-enkephalin (METENK) present [66].
Simply, the lower the amount of brain methionine-enkephalin, the higher the intake of alcohol in C57/Bl mice (low METENK), and the lower the intake of alcohol in DBA mice (high METENK). Using these studies as a rationale, Blum et al. [67] performed the first pharmacogenetic engineering experiment employing D-Phenylalanine, the enkephalinase inhibitor, to convert ethanol-preferring C57/Bl mice to behave like ethanol-averse DBA mice. These authors were able to significantly attenuate both volitional and forced ethanol intake, respectively, by acute and chronic treatment with D-phenylalanine. D-phenylalanine raises brain enkephalin levels through its enkephalinase inhibitory activity. It was shown that 18 days of treatment with D-phenylalanine significantly attenuated excessive alcohol intake in C57/BL to the same or even lower levels than its counter-part, DBA mice. This suggests that alcohol intake can be regulated by the alteration of endogenous brain opioid peptides.
Blum’s laboratory also researched the effects of the amino acid and vitamin mixture SAAVE in inpatient, chemically dependent patients in order to assess the role of neurotransmitters in assisting with the recovery and adjustment to a detoxified, sober state. In a double-blind, placebo-controlled, randomized study of 62 alcoholics and polydrug abusers, SAAVE patients had a significantly reduced stress response as measured by the skin conductance level (SCL). In addition, SAAVE patients had significantly improved physical scores and BESS scores (behavioral, emotional, social, and spiritual). Following detoxification, a six-fold reduction in AMA rates was seen when comparing SAAVE vs. placebo groups. In this inpatient treatment experience, the BESS scores indicated that SAAVE aided in the rate of recovery and helped patients respond more effectively and swiftly to the program’s behavioral goals [68].
According to a study involving Driving-Under-the-Influence (DUI) offenders by Brown et al. [69], the central nervous system rewarding properties of ethanol, heroin, and cocaine might stimulate a common catecholaminergic reward system in the mesolimbic circuitry of the brain. DUI offenders with either alcohol or cocaine-related issues were investigated. The KB220 neuronutrients SAAVE and Tropamine significantly reduced relapse rates and enhanced recovery in these DUI outpatient offenders over a 10-week period. Follow-up on both the SAAVE and Tropamine groups after 10 months revealed a 73% and a 53% overall recovery rate, respectively.
Understanding that there is no FDA approved treatment for psychostimulant abuse, research was conducted on abstinent psychostimulant abusers [57]. Positive outcomes demonstrated by quantitative electroencephalographic (qEEG) imaging in a randomized, triple-blind, placebo-controlled, crossover study involving oral Synaptose Complex KB220Z showed an increase in alpha waves and low beta wave activity in the parietal brain region. Using t statistics, significant differences observed between placebo and Synaptose Complex KB220Z consistently occurred in the frontal regions after week 1 and then again after week 2 of analyses (p = 0.03). This is the first report to demonstrate involvement of the prefrontal cortex in the qEEG response to a natural putative D2 agonist (Synaptose Complex KB220Z), especially evident in dopamine D2 A1 allele subjects. Independently, we have further supported this finding with an additional study of 3 serious polydrug abusers undergoing protracted abstinence who carried the DRD2 A1 allele. Significant qEEG differences were found between those who received 1 dose of placebo compared with those who were administered Synaptose Complex KB220Z. In these addicts, Synaptose Complex KB220Z induced positive modulation of their brain’s dysregulated electrical activity. The results are indicative of a phase change from low amplitude or low power in the brain to a more regulated state by increasing an average of 6.169 mV2 across the prefrontal cortical region. In the first experiment, we found that while 50% of the subjects carried the DRD2 A1 allele, 100% carried ≥1 risk allele. Specifically, based on the proposed addiction risk score for these 14 subjects, 72% had moderate-to-severe addiction risk. Comparable findings were acquired by replicating the experiment in 3 additional currently abstinent polydrug abusers who were carriers for the DRD2 A1 allele.

4. Summary

While we believe that in the future, with more independent research by other scientists, RDS deserves to be included in the DSM-VI and should be given an ICD code, we are also cognizant that the brain is not carved out according to the DSM. In this regard, Hyman’s group discussed this issue [70]. Specifically, neuroscience research into psychiatric disorders typically relies on disease classifications that are established by the influential DSM. The DSM was designed solely as a diagnostic tool, and it treats different disorders as distinct entities. However, the boundaries between disorders are not always as clear as the DSM claims. The US National Institute of Mental Health (NIMH) created the Research Domain Criteria (RDoC) project to provide an alternative framework for research into psychiatric disorders. There are five “domains” in the RDoC, and each reflects a brain system in which functioning is impaired, to varying degrees, in various psychiatric conditions. In agreement with these concepts, it is our opinion that while the DSM features symptomology, it would be equally important to feature etiological roots as portrayed in the RDS model [71,72,73].
In terms of a balanced review, a recent PUBMED search using the term “negative reports on Reward Deficiency Syndrome (RDS)” as of 10-3-22 revealed only four listings. However, using the term “reward deficiency”, there are 32 listings. A review of these entries does not reveal any direct negativity towards the concept of RDS per se. Furthermore, we are cognizant that certainly in some cases, there is a surfeit rather than a deficit of dopaminergic activity, especially in adolescence. Specifically, Blum et al. [72] suggest that the risk of all addictive drug and non-drug behaviors, especially in the unmyelinated prefrontal cortex of adolescents, is important and complex. Many animal and human studies show the epigenetic impact on the developing brain in adolescents compared to adults. Some reveal an underlying hyperdopaminergia that seems to set our youth up for risky behaviors by inducing high quanta of pre-synaptic dopamine release at reward site neurons. In addition, altered reward gene expression in adolescents caused epigenetically by social defeat, like bullying, can continue into adulthood. In contrast, there is also evidence that epigenetic events can elicit adolescent hypodopaminergia. This complexity suggests that neuroscience cannot make a definitive claim that all adolescents carry a hyperdopaminergic trait [73].

5. Conclusions

The carrying of known DNA antecedents, including epigenetic insults, results in a life-long vulnerability to RDS conditions and addictive behaviors. Epigenetic repair of hypodopaminergia, the causative basis of addictive behaviors, may involve precision DNA-guided therapy achieved by combining the GARS test with a researched neutraceutical having a number of variant names, including KB220Z [74]. This nutraceutical formulation with pro-dopamine regulatory capabilities has been studied and published in peer-reviewed journals mostly from our laboratory, but with required additional research, may help solve the current addiction crisis. Finally, following additional animal and human investigations, it is our opinion that RDS should be given an ICD code and deserves to be included in the DSM-VI because while the DSM features symptomology, it is equally important to feature etiological roots as portrayed in the RDS model.

Author Contributions

Conceptualization, K.B.; writing—original draft preparation, K.B., I.E., A.B., P.K.T., R.D.B., B.W.D., D.B. (Debasis Bagchi), C.A.D., A.G., E.R.B., R.G., T.M., D.B. (Debmalya Barh) and M.S.G.; writing—review and editing, K.B., I.E., A.B., P.K.T., R.D.B., B.W.D., D.B. (Debasis Bagchi), C.A.D., A.G., E.R.B., R.G., T.M., D.B. (Debmalya Barh) and M.S.G.; supervision, K.B.; project administration, A.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors appreciate the expert edits of Margaret A. Madigan.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Gondré-Lewis, M.C.; Bassey, R.; Blum, K. Pre-clinical models of reward deficiency syndrome: A behavioral octopus. Neurosci. Biobehav. Rev. 2020, 115, 164–188. [Google Scholar] [CrossRef] [PubMed]
  2. Blum, K.; Oscar-Berman, M.; Demetrovics, Z.; Barh, D.; Gold, M.S. Genetic Addiction Risk Score (GARS): Molecular neurogenetic evidence for predisposition to Reward Deficiency Syndrome (RDS). Mol. Neurobiol. 2014, 50, 765–796. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Blum, K.; Bowirrat, A.; Braverman, E.R.; Baron, D.; Cadet, J.L.; Kazmi, S.; Elman, I.; Thanos, P.K.; Badgaiyan, R.D.; Downs, W.B.; et al. Reward Deficiency Syndrome (RDS): A Cytoarchitectural Common Neurobiological Trait of All Addictions. Int. J. Environ. Res. Public Health 2021, 18, 11529. [Google Scholar] [CrossRef] [PubMed]
  4. Blum, K.; Soni, D.; Badgaiyan, R.D.; Baron, D. Overcoming reward deficiency syndrome by the induction of “dopamine homeostasis” instead of opioids for addiction: Illusion or reality? J. Osteopat. Med. 2022; ahead of print. [Google Scholar] [CrossRef]
  5. Blum, K.; Baron, D.; McLaughlin, T.P.K.; Giordano, J.; Ceccanti, M.D.; Badgaiyan, R.D. Summary Document Research on RDS Anti-addiction Modelling: Annotated Bibliography. J. Syst. Integr. Neurosci. 2022, 8, 2–35. [Google Scholar] [CrossRef]
  6. Kotyuk, E.; Magi, A.; Eisinger, A.; Király, O.; Vereczkei, A.; Barta, C.; Griffiths, M.D.; Székely, A.; Kökönyei, G.; Farkas, J.; 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. J. Behav. Addict. 2020, 9, 272–288. [Google Scholar] [CrossRef]
  7. Fried, L.; Modestino, E.J.; Siwicki, D.; Lott, L.; Thanos, P.K.; Baron, D.; Badgaiyan, R.D.; Ponce, J.V.; Giordano, J.; Downs, W.B.; et al. Hypodopaminergia and “Precision Behavioral Management” (PBM): It is a Generational Family Affair. Curr. Pharm. Biotechnol. 2020, 21, 528–541. [Google Scholar] [CrossRef]
  8. Blum, K.; Steinberg, B.; Gondré-Lewis, M.C.; Baron, D.; Modestino, E.J.; Badgaiyan, R.D.; Downs, B.W.; Bagchi, D.; Brewer, R.; McLaughlin, T.; et al. A Review of DNA Risk Alleles to Determine Epigenetic Repair of mRNA Expression to Prove Therapeutic Effectiveness in Reward Deficiency Syndrome (RDS): Embracing “Precision Behavioral Management”. Psychol. Res. Behav. Manag. 2021, 14, 2115–2134. [Google Scholar] [CrossRef] [PubMed]
  9. O’Connell, L.A.; Hofmann, H.A. Genes, hormones, and circuits: An integrative approach to study the evolution of social behavior. Front. Neuroendocr. 2011, 32, 320–335. [Google Scholar] [CrossRef]
  10. Blum, K.; Gondré-Lewis, M.; Steinberg, B.; Elman, I.; Baron, D.; Modestino, E.J.; Badgaiyan, R.D.; Gold, M.S. Our evolved unique pleasure circuit makes humans different from apes: Reconsideration of data derived from animal studies. J. Syst. Integr. Neurosci. 2018, 4. [Google Scholar] [CrossRef]
  11. Blum, K.; Werner, T.; Carnes, S.; Carnes, P.; Bowirrat, A.; Giordano, J.; Oscar-Berman, M.; Gold, M. Sex, Drugs, and Rock ‘N’ Roll: Hypothesizing Common Mesolimbic Activation as a Function of Reward Gene Polymorphisms. J. Psychoact. Drugs 2012, 44, 38–55. [Google Scholar] [CrossRef]
  12. Blum, K.; Noble, E.P.; Sheridan, P.J.; Montgomery, A.; Ritchie, T.; Jagadeeswaran, P.; Nogami, H.; Briggs, A.H.; Cohn, J.B. Allelic association of human dopamine D2 receptor gene in alcoholism. JAMA 1990, 263, 2055–2060. [Google Scholar] [CrossRef]
  13. Noble, E.P.; Blum, K.; Ritchie, T.; Montgomery, A.; Sheridan, P.J. Allelic Association of the D2 Dopamine Receptor Gene with Receptor-Binding Characteristics in Alcoholism or Gene ism. Arch. Gen. Psychiatry 1991, 48, 648–654. [Google Scholar] [CrossRef]
  14. Caetano, R. Diffusion of an Idea: Jellinek’s Disease Concept in Latin America. Int. J. Addict. 1985, 20, 1621–1633. [Google Scholar] [CrossRef]
  15. Pickard, H. Is addiction a brain disease? A plea for agnosticism and heterogeneity. Psychopharmacology 2022, 239, 993–1007. [Google Scholar] [CrossRef]
  16. Blum, K.; Wood, R.C.; Braverman, E.R.; Chen, T.J.; Sheridan, P.J. The D2 dopamine receptor gene as a predictor of compulsive disease: Bayes’ theorem. Funct. Neurol. 1995, 10, 37–44. [Google Scholar]
  17. Lancaster, T.M.; Ihssen, N.; Brindley, L.M.; Linden, D.E.J. Further support for association between GWAS variant for positive emotion and reward systems. Transl. Psychiatry 2017, 7, e1018. [Google Scholar] [CrossRef] [Green Version]
  18. Levey, D.F.; Stein, M.B.; Wendt, F.R.; Pathak, G.A.; Zhou, H.; Aslan, M.; Quaden, R.; Harrington, K.M.; Nuñez, Y.Z.; Overstreet, C.; et al. Bi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in >1.2 million individuals highlight new therapeutic directions. Nat. Neurosci. 2021, 24, 954–963. [Google Scholar] [CrossRef]
  19. Gupta, A.; Bowirrat, A.; Gomez, L.L.; Baron, D.; Elman, I.; Giordano, J.; Jalali, R.; Badgaiyan, R.D.; Modestino, E.J.; Gold, M.S.; et al. Hypothesizing in the Face of the Opioid Crisis Coupling Genetic Addiction Risk Severity (GARS) Testing with Electrotherapeutic Nonopioid Modalities Such as H-Wave Could Attenuate Both Pain and Hedonic Addictive Behaviors. Int. J. Environ. Res. Public Health 2022, 19, 552. [Google Scholar] [CrossRef]
  20. Elman, I.; Borsook, D. Common Brain Mechanisms of Chronic Pain and Addiction. Neuron 2016, 89, 11–36. [Google Scholar] [CrossRef] [Green Version]
  21. Gold, M.S.; Baron, D.; Bowirrat, A.; Blum, K. Neurological correlates of brain reward circuitry linked to opioid use disorder (OUD): Do homo sapiens acquire or have a reward deficiency syndrome? J. Neurol. Sci. 2020, 418, 117137. [Google Scholar] [CrossRef]
  22. Elman, I.; Borsook, D.; Lukas, S.E. Food Intake and Reward Mechanisms in Patients with Schizophrenia: Implications for Metabolic Disturbances and Treatment with Second-Generation Antipsychotic Agents. Neuropsychopharmacology 2006, 31, 2091–2120. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Thompson, J.; Thomas, N.; Singleton, A.; Piggott, M.; Lloyd, S.; Perry, E.K.; Morris, C.; Perry, R.H.; Ferrier, I.N.; A Court, J. D2 dopamine receptor gene (DRD2) Taql A polymorphism: Reduced dopamine D2 receptor binding in the human striatum associated with the A1 allele. Pharmacogenetics 1997, 7, 479–484. [Google Scholar] [CrossRef]
  24. Elman, I.; Borsook, D. Threat Response System: Parallel Brain Processes in Pain vis-à-vis Fear and Anxiety. Front. Psychiatry 2018, 9, 29. [Google Scholar] [CrossRef] [Green Version]
  25. LeDoux, J.E.; Pine, D.S. Using Neuroscience to Help Understand Fear and Anxiety: A Two-System Framework. Am. J. Psychiatry 2016, 173, 1083–1093. [Google Scholar] [CrossRef] [Green Version]
  26. Kotyuk, E.; Farkas, J.; Magi, A.; Eisinger, A.; Király, O.; Vereczkei, A.; Barta, C.; Griffiths, M.D.; Kökönyei, G.; Székely, A.; et al. The psychological and genetic factors of the addictive behaviors (PGA) study. Int. J. Methods Psychiatr. Res. 2019, 28, e1748. [Google Scholar] [CrossRef]
  27. Vereczkei, A.; Barta, C.; Magi, A.; Farkas, J.; Eisinger, A.; Király, O.; Belik, A.; Griffiths, M.D.; Szekely, A.; Sasvári-Székely, M.; et al. FOXN3 and GDNF Polymorphisms as Common Genetic Factors of Substance Use and Addictive Behaviors. J. Pers. Med. 2022, 12, 690. [Google Scholar] [CrossRef]
  28. Trachtenberg, M.C.; Blum, K. Alcohol and Opioid Peptides: Neuropharmacological Rationale for Physical Craving of Alcohol. Am. J. Drug Alcohol Abus. 1987, 13, 365–372. [Google Scholar] [CrossRef]
  29. Blum, K.; Gold, M.; Modestino, E.J.; Baron, D.; Boyett, B.; Siwicki, D.; Lott, L.; Podesta, A.; Roy, A.K.; Hauser, M.; et al. Would induction of dopamine homeostasis via coupling genetic addiction risk score (GARS®) and pro-dopamine regulation benefit benzodiazepine use disorder (BUD)? J. Syst. Integr. Neurosci. 2018, 3, 1000196. [Google Scholar] [CrossRef]
  30. Hollander, E. Obsessive–compulsive disorder and spectrum across the life span. Int. J. Psychiatry Clin. Pract. 2005, 9, 79–86. [Google Scholar] [CrossRef]
  31. Blum, K.; Sheridan, P.J.; Wood, R.C.; Braverman, E.R.; Chen, T.J.; Cull, J.G.; Comings, D.E. The D2 dopamine receptor gene as a determinant of reward deficiency syndrome. J. R. Soc. Med. 1996, 89, 396–400. [Google Scholar] [CrossRef]
  32. Jameel, S.; Shahnawaz, M.G.; Griffiths, M.D. Smartphone addiction in students: A qualitative examination of the components model of addiction using face-to-face interviews. J. Behav. Addict. 2019, 8, 780–793. [Google Scholar] [CrossRef] [PubMed]
  33. Antons, S.; Brand, M.; Potenza, M.N. Neurobiology of cue-reactivity, craving, and inhibitory control in non-substance addictive behaviors. J. Neurol. Sci. 2020, 415, 116952. [Google Scholar] [CrossRef] [PubMed]
  34. Majuri, J.; Joutsa, J.; Johansson, J.; Voon, V.; Alakurtti, K.; Parkkola, R.; Lahti, T.; Alho, H.; Hirvonen, J.; Arponen, E.; et al. Dopamine and Opioid Neurotransmission in Behavioral Addictions: A Comparative PET Study in Pathological Gambling and Binge Eating. Neuropsychopharmacology 2017, 42, 1169–1177. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Hillemacher, T.; Frieling, H.; Buchholz, V.; Hussein, R.; Bleich, S.; Meyer, C.; John, U.; Bischof, A.; Rumpf, H.-J. Alterations in DNA-methylation of the dopamine-receptor 2 gene are associated with abstinence and health care utilization in individuals with a lifetime history of pathologic gambling. Prog. Neuro-Psychopharmacol. Biol. Psychiatry 2015, 63, 30–34. [Google Scholar] [CrossRef] [PubMed]
  36. Hillemacher, T.; Frieling, H.; Buchholz, V.; Hussein, R.; Bleich, S.; Meyer, C.; John, U.; Bischof, A.; Rumpf, H.-J. Dopamine-receptor 2 gene-methylation and gambling behavior in relation to impulsivity. Psychiatry Res. 2016, 239, 154–155. [Google Scholar] [CrossRef]
  37. Lee, H.K. Prerequisites for stakeholder framework: Consumer advocacy and health protection in the digital industry. J. Behav. Addict. 2020, 9, 898–902. [Google Scholar] [CrossRef]
  38. Agrawal, A.; Lynskey, M.T.; Hinrichs, A.; Grucza, R.; Saccone, S.F.; Krueger, R.; Neuman, R.; Howells, W.; Fisher, S.; Fox, L.; et al. A genome-wide association study of DSM-IV cannabis dependence. Addict. Biol. 2011, 16, 514–518. [Google Scholar] [CrossRef] [Green Version]
  39. Chen, T.J.; Blum, K.; Mathews, D.; Fisher, L.; Schnautz, N.; Braverman, E.R.; Schoolfield, J.; Downs, B.W.; Comings, D.E. Are dopaminergic genes involved in a predisposition to pathological aggression?: Hypothesizing the importance of “super normal controls” in psychiatricgenetic research of complex behavioral disorders. Med. Hypotheses 2005, 65, 703–707. [Google Scholar] [CrossRef]
  40. Al-Eitan, L.N.; Rababa’H, D.M.; Alghamdi, M.A. Genetic susceptibility of opioid receptor genes polymorphism to drug addiction: A candidate-gene association study. BMC Psychiatry 2021, 21, 5. [Google Scholar] [CrossRef]
  41. Gowin, J.L.; May, A.C.; Wittmann, M.; Tapert, S.F.; Paulus, M. Doubling Down: Increased Risk-Taking Behavior Following a Loss by Individuals with Cocaine Use Disorder Is Associated with Striatal and Anterior Cingulate Dysfunction. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 2017, 2, 94–103. [Google Scholar] [CrossRef]
  42. Cooper, S.; Robison, A.; Mazei-Robison, M.S. Reward Circuitry in Addiction. Neurotherapeutics 2017, 14, 687–697. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Pourhamzeh, M.; Moravej, F.G.; Arabi, M.; Shahriari, E.; Mehrabi, S.; Ward, R.; Ahadi, R.; Joghataei, M.T. The Roles of Serotonin in Neuropsychiatric Disorders. Cell. Mol. Neurobiol. 2021, 42, 1671–1692. [Google Scholar] [CrossRef] [PubMed]
  44. Bara, A.; Ferland, J.-M.N.; Rompala, G.; Szutorisz, H.; Hurd, Y.L. Cannabis and synaptic reprogramming of the developing brain. Nat. Rev. Neurosci. 2021, 22, 423–438. [Google Scholar] [CrossRef]
  45. Blum, K.; McLaughlin, T.; Bowirrat, A.; Modestino, E.J.; Baron, D.; Gomez, L.L.; Ceccanti, M.; Braverman, E.R.; Thanos, P.K.; Cadet, J.L.; et al. Reward Deficiency Syndrome (RDS) Surprisingly Is Evolutionary and Found Everywhere: Is It “Blowin’ in the Wind”? J. Pers. Med. 2022, 12, 321. [Google Scholar] [CrossRef]
  46. Blum, K.; Febo, M.; Badgaiyan, R.D.; Baron, D.; Thanos, P.K.; Colon-Perez, L.M.; Demotrovics, Z.; Gold, M.S. Dopamine homeostasis brain functional connectivity in reward deficiency syndrome. Front. Biosci. 2017, 22, 669–691. [Google Scholar] [CrossRef] [Green Version]
  47. Blum, K.; Febo, M.; Badgaiyan, R.D.; Braverman, E.R.; Dushaj, K.; Li, M.; Demetrovics, Z. Neuronutrient amino-acid therapy protects against reward deficiency syndrome: Dopaminergic key to homeostasis and neuroplasticity. Curr. Pharm. Des. 2016, 22, 5837–5854. [Google Scholar] [CrossRef] [Green Version]
  48. Blum, K.; Gold, M.S.; Jacobs, W.; McCall, W.V.; Febo, M.; Baron, D.; Dushaj, K.; Demetrovics, Z.; Badgaiyan, R.D. Neurogenetics of acute and chronic opiate opioid abstinence treating symptoms and the cause. Front. Biosci. 2017, 22, 1247–1288. [Google Scholar] [CrossRef] [Green Version]
  49. Blum, K.; Febo, M.; Fried, L.; Li, M.; Dushaj, K.; Braverman, E.R.; McLaughlin, T.; Steinberg, B.; Badgaiyan, R.D. Hypothesizing That Neuropharmacological and Neuroimaging Studies of Glutaminergic-Dopaminergic Optimization Complex (KB220Z) Are Associated With “Dopamine Homeostasis” in Reward Deficiency Syndrome (RDS). Subst. Use Misuse 2017, 52, 535–547. [Google Scholar] [CrossRef] [Green Version]
  50. Miller, D.K.; Bowirrat, A.; Manka, M.; Miller, M.; Stokes, S.; Manka, D.; Allen, C.; Gant, C.; Downs, B.W.; Smolen, A.; et al. Acute Intravenous Synaptamine Complex Variant KB220™ “Normalizes” Neurological Dysregulation in Patients during Protracted Abstinence from Alcohol and Opiates as Observed Using Quantitative Electroencephalographic and Genetic Analysis for Reward Polymorphisms: Part 1, Pilot Study with 2 Case Reports. Postgrad. Med. 2010, 122, 188–213. [Google Scholar] [CrossRef]
  51. Miller, M.; Chen, A.L.; Stokes, S.D.; Silverman, S.; Bowirrat, A.; Manka, M.; Manka, D.; Miller, D.K.; Perrine, K.; Chen, T.J.; et al. Early Intervention of Intravenous KB220IV- Neuroadaptagen Amino-Acid Therapy (NAAT)™ Improves Behavioral Outcomes in a Residential Addiction Treatment Program: A Pilot Study. J. Psychoact. Drugs 2012, 44, 398–409. [Google Scholar] [CrossRef]
  52. Blum, K.; Modestino, E.J.; Gondre-Lewis, M.C.; Baron, K.; Steinberg, B.; Thanos, K.P.; Downs, W.B.; Siwicki, D.; Lott, L.; Braverman, R.E.; et al. Pro-Dopamine Regulator (KB220) A Fifty Year Sojourn to Combat Reward Deficiency Syndrome (RDS): Evidence Based Bibliography (Annotated). CPQ Neurol. Psychol. 2018, 1. Available online: https://www.cientperiodique.com/journal/fulltext/CPQNP/1/2/13 (accessed on 13 October 2022).
  53. Febo, M.; Blum, K.; Badgaiyan, R.D.; Perez, P.D.; Colon-Perez, L.M.; Thanos, P.K.; Ferris, C.F.; Kulkarni, P.; Giordano, J.; Baron, D.; et al. Enhanced functional connectivity and volume between cognitive and reward centers of naïve rodent brain produced by pro-dopaminergic agent KB220Z. PLoS ONE 2017, 12, e0174774. [Google Scholar] [CrossRef] [Green Version]
  54. Blum, K.; Liu, Y.; Wang, W.; Wang, Y.; Zhang, Y.; Oscar-Berman, M.; Smolen, A.; Febo, M.; Han, D.; Simpatico, T.; et al. rsfMRI effects of KB220Z™ on neural pathways in reward circuitry of abstinent genotyped heroin addicts. Postgrad. Med. 2015, 127, 232–241. [Google Scholar] [CrossRef] [PubMed]
  55. Blum, K.; Chen, T.J.; Morse, S.; Giordano, J.; Chen, A.L.; Thompson, J.; Allen, C.; Smolen, A.; Lubar, J.; Stice, E.; et al. Overcoming qEEG abnormalities and reward gene deficits during protracted abstinence in male psychostimulant and polydrug abusers utilizing putative dopamine D2 agonist. Postgrad. Med. 2010, 122, 214–226. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Willuhn, I.; Burgeno, L.; Groblewski, P.A.; Phillips, P.E.M. Excessive cocaine use results from decreased phasic dopamine signaling in the striatum. Nat. Neurosci. 2014, 17, 704–709. [Google Scholar] [CrossRef] [PubMed]
  57. Park, K.; Volkow, N.D.; Pan, Y.; Du, C. Chronic cocaine dampens dopamine signaling during cocaine intoxication and unbalances D1 over D2 receptor signaling. J. Neurosci. 2013, 33, 15827–15836. [Google Scholar] [CrossRef] [Green Version]
  58. Thanawala, V.J.K.A.R.G.V.; Kadam, V.J.; Ghosh, R. Enkephalinase Inhibitors: Potential Agents for the Management of Pain. Curr. Drug Targets 2008, 9, 887–894. [Google Scholar] [CrossRef] [PubMed]
  59. Ramírez-Sánchez, M.; Prieto, I.; Segarra, A.-B.; Martínez-Cañamero, M.; Banegas, I.; de Gasparo, M. Enkephalinase regulation. Vitam. Horm. 2019, 111, 105–129. [Google Scholar] [CrossRef]
  60. Kitade, T.; Odahara, Y.; Shinohara, S.; Ikeuchi, T.; Sakai, T.; Morikawa, K.; Minamikawa, M.; Toyota, S.; Kawachi, A.; Hyodo, M.; et al. Studies on the enhanced effect of acupuncture analgesia and acupuncture anesthesia by d-phenylalanine (2nd report)—Schedule of administration and clinical effects in low back pain and tooth extraction. Acupunct. Electro. Ther. Res. 1990, 15, 121–135. [Google Scholar] [CrossRef] [PubMed]
  61. Cheng, R.S.; Pomeranz, B. A combined treatment with d-amino acids and electroacupuncture produces a greater analgesia than either treatment alone; naloxone reverses these effects. Pain 1980, 8, 231–236. [Google Scholar] [CrossRef]
  62. Blum, K.; Baron, D.; McLaughlin, T.; Gold, M.S. Molecular neurological correlates of endorphinergic/dopaminergic mechanisms in reward circuitry linked to endorphinergic deficiency syndrome (EDS). J. Neurol. Sci. 2020, 411, 116733. [Google Scholar] [CrossRef]
  63. Blum, K.; Modestino, E.J.; Gondré-Lewis, M.; Downs, B.W.; Baron, D.; Steinberg, B.; Siwicki, D.; Giordano, J.; McLaughlin, T.; Neary, J.; et al. “Dopamine homeostasis” requires balanced polypharmacy: Issue with destructive, powerful dopamine agents to combat America’s drug epidemic. J. Syst. Integr. Neurosci. 2017, 3. [Google Scholar] [CrossRef] [Green Version]
  64. Blum, K.; Briggs, A.H.; Elston, S.F.A.; DeLallo, L.; Sheridan, P.J.; Sar, M. Reduced Leucine-Enkephalin—Like Immunoreactive Substance in Hamster Basal Ganglia After Long-Term Ethanol Exposure. Science 1982, 216, 1425–1427. [Google Scholar] [CrossRef] [PubMed]
  65. Blum, K.; Elston, S.F.; DeLallo, L.; Briggs, A.H.; Wallace, J.E. Ethanol acceptance as a function of genotype amounts of brain [Met]enkephalin. Proc. Natl. Acad. Sci. USA 1983, 80, 6510–6512. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Blum, K.; Briggs, A.H.; Trachtenberg, M.C.; Delallo, L.; Wallace, J.E. Enkephalinase inhibition: Regulation of ethanol intake in genetically predisposed mice. Alcohol 1987, 4, 449–456. [Google Scholar] [CrossRef]
  67. Blum, K.; Trachtenberg, M.C.; Elliott, C.E.; Dingler, M.L.; Sexton, R.L.; Samuels, A.I.; Cataldie, L. Enkephalinase inhibition and precursor amino acid loading improves inpatient treatment of alcohol and polydrug abusers: Double-blind placebo-controlled study of the nutritional adjunct SAAVE. Alcohol 1988, 5, 481–493. [Google Scholar] [CrossRef]
  68. Brown, R.J.; Blum, K.; Trachtenberg, M.C. Neurodynamics of Relapse Prevention: A Neuronutrient Approach to Outpatient DUI Offenders. J. Psychoact. Drugs 1990, 22, 173–187. [Google Scholar] [CrossRef] [PubMed]
  69. Casey, B.J.; Craddock, N.; Cuthbert, B.N.; Hyman, S.E.; Lee, F.S.; Ressler, K.J. DSM-5 and RDoC: Progress in psychiatry research? Nat. Rev. Neurosci. 2013, 14, 810–814. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  70. Kótyuk, E.; Urbán, R.; Hende, B.; Richman, M.; Magi, A.; Király, O.; Barta, C.; Griffiths, M.D.; Potenza, M.N.; Badgaiyan, R.D.; et al. Development and validation of the Reward Deficiency Syndrome Questionnaire (RDSQ-29). J. Psychopharmacol. 2022, 36, 409–422. [Google Scholar] [CrossRef]
  71. Blum, K.; McLaughlin, T.; Modestino, E.J.; Baron, D.; Bowirrat, A.; Brewer, R.; Steinberg, B.; Roy, A.K.; Febo, M.; Badgaiyan, R.D.; et al. Epigenetic Repair of Terrifying Lucid Dreams by Enhanced Brain Reward Functional Connectivity and Induction of Dopaminergic Homeo—static Signaling. Curr. Psychopharmacol. 2021, 10, 170–180. [Google Scholar] [CrossRef] [PubMed]
  72. Blum, K.; Bowirrat, A.; Lewis, M.C.; Simpatico, T.A.; Ceccanti, M.; Steinberg, B.; Modestino, E.J.; Thanos, P.K.; Baron, D.; McLaughlin, T.; et al. Exploration of Epigenetic State Hyperdopaminergia (Surfeit) and Genetic Trait Hypodopaminergia (Deficit) during Adolescent Brain Development. Curr. Psychopharmacol. 2021, 10, 181–196. [Google Scholar] [CrossRef]
  73. Blum, K.; Bowirrat, A.; Gomez, L.L.; Downs, B.W.; Bagchi, D.; Barh, D.; Modestino, E.J.; Baron, D.; McLaughlin, T.; Thanos, P.; et al. Why haven’t we solved the addiction crisis? J. Neurol. Sci. 2022, 442, 120404. [Google Scholar] [CrossRef] [PubMed]
  74. Blum, K.; Febo, M.; Smith, D.E.; Roy, A.K., 3rd; Demetrovics, Z.; Cronjé, F.J.; Femino, J.; Agan, G.; Fratantonio, J.L.; Pandey, S.C.; et al. Neurogenetic and epigenetic correlates of adolescent predisposition to and risk for addictive behaviors as a function of prefrontal cortex dysregulation. J. Child Adolesc. Psychopharmacol. 2015, 25, 286–292. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Mesolimbic Brain Reward Cascade. This cartoon illustrates the interaction of known major neurotransmitter pathways involved in the Brain reward Cascade (BRC). In the hypothalamus, environmental stimulation results in the release of serotonin, which in turn, via, for example, 5 HT-2 a receptors activate (green equal sign) the subsequent release of opioid peptides from opioid peptide neurons. Then, in the Substantia Nigra, the opioid peptides move to possibly two different opioid receptors with different effects. One that inhibits (red hash sign) through the mu-opioid receptor (possibly via enkephalin) to GABAA neurons. Another stimulates (green equal sign) cannabinoid neurons (the Anandamide and 2-arachidonoylglycerol, for example) through beta-endorphin-linked delta receptors, which inhibit GABAA neurons. Furthermore, when activated, cannabinoids, primarily 2-arachidonoylglycerol, can indirectly disinhibit (green hash sign) GABAA neurons through activation of G1/0 coupled to CB1 receptors. In the Dorsal Raphe Nuclei (DRN), glutamate neurons can then indirectly disinhibit GABAA neurons in the Substantia Nigra through activation of GLU M3 receptors (green hash sign). GABAA neurons, when disinhibited, will in turn, powerfully (red hash signs) inhibit VTA glutaminergic drive via GABAB 3 receptors. At the Nucleus Accumbens, Acetylcholine (ACH) neurons may stimulate both muscarinic (red hash) and Nicotinic (green hash) receptors. Finally, Glutamate neurons in the VTA will project to dopamine neurons through NMDA receptors (green equal sign) to preferentially release dopamine at the Nucleus Accumbens (NAc), shown as a bullseye that indicates a euphoria, or “wanting” response. The result is dopamine release; low release is (endorphin deficiency), where unhappiness is felt. General (healthy) happiness depends on the dopamine homeostatic tonic set point (with permission) [22]. Notably, various hypotheses explained the findings that led to the modern known correlates of neurotransmitter interactions within this brain reward circuitry. Hypothalamus = serotonin and opioid peptides; Substantia Nigra = Cannabinoids, and GABA; Dorsal Raphe Nuclei = Glutamine and GABA; Ventral Tegmental Area(VTA) = Glutamine and acetylcholine, and Nucleus Accumbens = Dopamine.
Figure 1. Mesolimbic Brain Reward Cascade. This cartoon illustrates the interaction of known major neurotransmitter pathways involved in the Brain reward Cascade (BRC). In the hypothalamus, environmental stimulation results in the release of serotonin, which in turn, via, for example, 5 HT-2 a receptors activate (green equal sign) the subsequent release of opioid peptides from opioid peptide neurons. Then, in the Substantia Nigra, the opioid peptides move to possibly two different opioid receptors with different effects. One that inhibits (red hash sign) through the mu-opioid receptor (possibly via enkephalin) to GABAA neurons. Another stimulates (green equal sign) cannabinoid neurons (the Anandamide and 2-arachidonoylglycerol, for example) through beta-endorphin-linked delta receptors, which inhibit GABAA neurons. Furthermore, when activated, cannabinoids, primarily 2-arachidonoylglycerol, can indirectly disinhibit (green hash sign) GABAA neurons through activation of G1/0 coupled to CB1 receptors. In the Dorsal Raphe Nuclei (DRN), glutamate neurons can then indirectly disinhibit GABAA neurons in the Substantia Nigra through activation of GLU M3 receptors (green hash sign). GABAA neurons, when disinhibited, will in turn, powerfully (red hash signs) inhibit VTA glutaminergic drive via GABAB 3 receptors. At the Nucleus Accumbens, Acetylcholine (ACH) neurons may stimulate both muscarinic (red hash) and Nicotinic (green hash) receptors. Finally, Glutamate neurons in the VTA will project to dopamine neurons through NMDA receptors (green equal sign) to preferentially release dopamine at the Nucleus Accumbens (NAc), shown as a bullseye that indicates a euphoria, or “wanting” response. The result is dopamine release; low release is (endorphin deficiency), where unhappiness is felt. General (healthy) happiness depends on the dopamine homeostatic tonic set point (with permission) [22]. Notably, various hypotheses explained the findings that led to the modern known correlates of neurotransmitter interactions within this brain reward circuitry. Hypothalamus = serotonin and opioid peptides; Substantia Nigra = Cannabinoids, and GABA; Dorsal Raphe Nuclei = Glutamine and GABA; Ventral Tegmental Area(VTA) = Glutamine and acetylcholine, and Nucleus Accumbens = Dopamine.
Jpm 12 01719 g001
Figure 2. Reward Deficiency Syndrome schematic (with permission from Blum et al. [46]).
Figure 2. Reward Deficiency Syndrome schematic (with permission from Blum et al. [46]).
Jpm 12 01719 g002
Table 1. Reward Deficiency Syndrome Criteria.
Table 1. Reward Deficiency Syndrome Criteria.
GARS Score of 4 With 1–2 Criteria Mild
GARS Score of 4–6with 3 or more Criteria Moderate
GARS Score of 7–9with 1–2 CriteriaModerate
GARS Score of 7–9with 3 or more CriteriaSevere
GARS Score of 10 or morewith 1–2 CriteriaSevere
GARS Score of 10 or morewith 3 or more CriteriaProfound
Criteria Set ONE—DSM-5 Disorders
A present diagnosis, past diagnosis, or history of these behavioral disorders
Substance Use Process DisordersDisorders: Alcohol Use Disorder, Opioid Use Disorder, Cannabis Use Disorder; Sedative, Hypnotic, Anxiolytic Use Disorder; Cocaine Use Disorder, Amphetamine Use Disorder, Hallucinogen Use Disorder, Nicotine Use Disorder, Inhalant Use Disorder, Other, Unknown Substance Use Disorder
Specifiers: Mild, Moderate, Severe, Early Remission (6–12 months), Sustained Remission (12+ months), in a Controlled Environment, on Maintenance Therapy
Process DisordersGambling, Sex, Other Specified Process Disorders
Depressive (and related) DisordersMajor Depression, Dysthymia, Disruptive Mood Dysregulation, SUD/Medication/Medical Condition Induced Depressive Disorder, Disruptive Premenstrual Dysphoric Disorder
Anxiety DisordersGeneralized Anxiety Disorder, Social Anxiety, Panic Attack
Disorder, Separation Anxiety, Selective Mutism, Specific Phobia,
SUD/Medication/Medical Condition Induced Anxiety
Trauma and Stress DisordersReactive Attachment, Disinhibited Social Engagement, Post-Traumatic Stress Disorder (PTSD), Acute Stress Disorders
Disruptive, Impulse Control, and Conduct DisordersOppositional Defiant Disorder, Intermittent Explosive Disorder, Conduct Disorder, Pyromania, Kleptomania
Personality DisordersGeneral Personality Disorder, Paranoid Personality Disorder, Schizoid/Schizotypal Personality Disorder, Anti-Social Personality Disorder, Borderline Personality Disorder, Histrionic Personality Disorder, Narcissistic, Personality Disorder, Avoidant Personality Disorder, Dependent Personality Disorder
Obsessive Compulsive Disorders and Related DisordersTrichotillomania, Excoriation Disorder, SUD/Medical/Medication Induced Obsessive Compulsive Disorder (OCD), other Medical Condition, Induced Personality Disorder
Schizophrenic DisordersSchizophrenic Disorders: Schizophrenia, Schizoaffective Disorder, Schizophreniform Disorder, Delusional Disorder, Brief Psychotic Disorder, MH/Medical Catalonia, SUD/Medication/Medical Condition Induced Psychotic Disorder
Dissociative DisordersDissociative Identity Disorder, Dissociative Amnesia, Depersonalization/Derealization Disorder
Other Not Otherwise Specified (NOS) DisordersGender Dysphoric Disorder
Paraphilic Disorders
Spectrum Disorders Attention Deficient Disorder, Attention Deficient/Hyperactivity Disorder, Tourette’s Syndrome Autism
Criteria Set TWO
Reported history of these symptoms:
Novelty seekingThis trait is associated with exploratory activity in response to novel stimulation, impulsive decision making, extravagance in approach to reward cues, quick loss of temper, and avoidance of frustration.
ImpulsivityThe construct of impulsivity includes at least two independent components: first, acting without an appropriate amount of deliberation, which may or may not be functional; and second, choosing short-term gains over long-term ones.
Difficulty feeling reward (Anhedonia)Either a reduced ability to experience pleasure or a diminished interest in engaging in pleasurable activities.
Motivational AnhedoniaDecrease in motivation to participate in pleasurable activities
Rumination, Obsessive, and Intrusive Negative ThoughtsPossible causes and consequences, as opposed to its solutions
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Blum, K.; Dennen, C.A.; Elman, I.; Bowirrat, A.; Thanos, P.K.; Badgaiyan, R.D.; Downs, B.W.; Bagchi, D.; Baron, D.; Braverman, E.R.; et al. Should Reward Deficiency Syndrome (RDS) Be Considered an Umbrella Disorder for Mental Illness and Associated Genetic and Epigenetic Induced Dysregulation of Brain Reward Circuitry? J. Pers. Med. 2022, 12, 1719. https://doi.org/10.3390/jpm12101719

AMA Style

Blum K, Dennen CA, Elman I, Bowirrat A, Thanos PK, Badgaiyan RD, Downs BW, Bagchi D, Baron D, Braverman ER, et al. Should Reward Deficiency Syndrome (RDS) Be Considered an Umbrella Disorder for Mental Illness and Associated Genetic and Epigenetic Induced Dysregulation of Brain Reward Circuitry? Journal of Personalized Medicine. 2022; 12(10):1719. https://doi.org/10.3390/jpm12101719

Chicago/Turabian Style

Blum, Kenneth, Catherine A. Dennen, Igor Elman, Abdalla Bowirrat, Panayotis K. Thanos, Rajendra D. Badgaiyan, B. William Downs, Debasis Bagchi, David Baron, Eric R. Braverman, and et al. 2022. "Should Reward Deficiency Syndrome (RDS) Be Considered an Umbrella Disorder for Mental Illness and Associated Genetic and Epigenetic Induced Dysregulation of Brain Reward Circuitry?" Journal of Personalized Medicine 12, no. 10: 1719. https://doi.org/10.3390/jpm12101719

APA Style

Blum, K., Dennen, C. A., Elman, I., Bowirrat, A., Thanos, P. K., Badgaiyan, R. D., Downs, B. W., Bagchi, D., Baron, D., Braverman, E. R., Gupta, A., Green, R., McLaughlin, T., Barh, D., & Gold, M. S. (2022). Should Reward Deficiency Syndrome (RDS) Be Considered an Umbrella Disorder for Mental Illness and Associated Genetic and Epigenetic Induced Dysregulation of Brain Reward Circuitry? Journal of Personalized Medicine, 12(10), 1719. https://doi.org/10.3390/jpm12101719

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop