Many recognize that several behaviors potentially affecting the reward circuitry in human brains lead to a loss of control and other symptoms of addiction in at least some individuals. Regarding Internet addiction, neuroscientific research supports the assumption that underlying neural processes are similar to substance addiction. The American Psychiatric Association (APA) has recognized one such Internet related behavior, Internet gaming, as a potential addictive disorder warranting further study, in the 2013 revision of their Diagnostic and Statistical Manual. Other Internet related behaviors, e.g., Internet pornography use, were not covered. Within this review, we give a summary of the concepts proposed underlying addiction and give an overview about neuroscientific studies on Internet addiction and Internet gaming disorder. Moreover, we reviewed available neuroscientific literature on Internet pornography addiction and connect the results to the addiction model. The review leads to the conclusion that Internet pornography addiction fits into the addiction framework and shares similar basic mechanisms with substance addiction. Together with studies on Internet addiction and Internet Gaming Disorder we see strong evidence for considering addictive Internet behaviors as behavioral addiction. Future research needs to address whether or not there are specific differences between substance and behavioral addiction.

Background: The search for an accurate, gene-based test to identify heritable risk factors for Reward Deficiency Syndrome (RDS) was conducted based on hundreds of published studies about the role of dopamine in addictive behaviors, including risk for drug dependence and compulsive/impulsive behavior disorders. The term RDS was first coined by Blum’s group in 1995 to identify a group of behaviors with a common neurobiological mechanism associated with a polymorphic allelic propensity for hypodopaminergia. Objectives: To outline the process used to select risk alleles of reward genes for the Genetic Addiction Risk Score (GARS) test. Consequently, to address the limitations caused by inconsistent results that occur in many case-control behavioral association studies. These limitations are perhaps due to the failure of investigators to adequately screen controls for drug and alcohol use disorder, and any of the many RDS behaviors, including nicotine dependence, obesity, pathological gambling, and internet gaming addiction. Method: Review of the literature related to the function of risk alleles of reward genes associated with hypodopaminergia relevant case-control association studies for the selection of alleles to be measured by the Genetic Addiction Risk Score (GARS) test. Result: The prevalence of the DRD2 A1 allele in unscreened controls (33.3%), compared to “Super-Controls” [highly screened RDS controls (3.3%) in proband and family] is used to exemplify a possible solution. Conclusion: Unlike One Gene-One Disease (OGOD), RDS is polygenetic, and very complex. In addition, any RDS-related behaviors must be eliminated from the control group in order to obtain the best possible statistical analysis instead of comparing the phenotype with diseaseridden controls.

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In the face of the current Opioid crisis in America killing close to 800,000 people since 2004, we are proposing a novel approach to assist in at least attenuating these unwanted premature deaths. While we applaud the wonderful efforts of our governmental institutes and professional societies (NIDA, NIAAA, ASAM, ABAM ) in their extraordinary efforts in combating this continued dilemma, the current approach is failing, and other alternative approaches should at least be tested. These truths present a serious ethical dilemma to scientists, clinicians and counselors in the Reward Deficiency Syndrome (RDS) treatment community. It is important to realize that the current DSM-5 does not actually accurately display the natural brain reward process. The human brain has not been designed to carve out specific drugs like opioids, alcohol, nicotine, cocaine, benzodiazepines or cannabis and process addictions such as gambling as distinct endophenotypes. This is true in spite of natural ligands for cannabinoids, endorphins, or even benzodiazepines. The most accurate endophenotype is indeed reward dysfunction (e.g hypodopaminergic or hyperdopaminergic). With this mind, we are hereby proposing that the current Medication Assisted Treatment (i.e. ‘MAT’) expands to needed individuals as an initial “Band-Aid” to reduce harm avoidance, with the long–term goal of prophylaxis. So, to be clear, there may be other promising modalities other than MAT such as repetitive transcranial magnetic stimulation (rTMS), exercise and even new medications with positive allosteric modulators of GABA-A receptors, as well as the highly researched Genetic Addiction Risk Score (GARS) coupled with precision KB220Z. This will induce “dopamine homeostasis” to effectively rebalance and restore healthier brain function by promoting the cross talk between various brain regions (e.g. Nucleus accumbens, cingulate gyrus, hippocampus etc.) resulting in dopamine homeostasis. Our laudable goal is to not only save lives, but to redeem joy and improve the quality of life in the recovery community through scientifically sound natural non-addicting alternatives.

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