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It is a reality that globally opioid deaths have soared for men and women of all social, economic status and age from heroin and fentanyl overdoses. Specifically, in the United States, deaths from narcotic overdoses have reached alarming metrics since 2010. In fact, the Fentanyl rise is driven by drug dealers who sell it as heroin or who use it to lace cocaine or to make illegal counterfeit prescription opioids. The President's Commission on the crisis has linked the death toll as equivalent to "September 11th every three weeks." In fact, The U.S. Centre for Disease Control (CDC) released data showing that opioid-related overdoses were up 15% in the first three quarters of 2016 compared to 2015. Various governmental organizations including NIDA, are actively seeking solutions. However, we argue that unless the scientific community embraces genetic addiction risk coupled with potential precision or personalized medicine to induce "dopamine homeostasis" it will fail. We now have evidence that a ten-gene and eleven single nucleotide polymorphism (SNP) panel predicts Addiction Severity Index (ASI) for both alcohol and drugs of abuse (e.g., Opioids). In a large multi-addiction centre study involving seven diverse treatment programs, the genetic addiction risk score (GARS™) was shown to have a predictive relationship with ASI–MV derived alcohol (≥ seven alleles), and other drugs (≥ 4 alleles) severity risk scores. In a number of neuroimaging studies, we also display that in both animal (bench) and abstinent Chinese severe heroin-dependent patients (bedside), BOLD dopamine activation across the brain reward circuitry revealed increases in resting state functional connectivity as well volume connectivity. It is also known that published nutrigenomic (coupling gene polymorphisms with altered KB220z) studies reveal improved clinical outcomes related to obesity.

Mindful of the new evolutionary ideas related to an emerging scientific focus known as omics, we propose that spiritual, social, and political behaviors may be tied in part to inheritable reward gene polymorphisms, as has been demonstrated for the addictions. If so, analyses of gene polymorphisms may assist in predicting liberalism or conservatism in partisan attachments. For example, both drinking (alcohol) and obesity seem to cluster in large social networks and are influenced by friends having the same genotype, in particular the DRD2 A1 allele. Likewise, voting, voting turnout and attachment to a particular political ideology is differentially related to various reward genes (e.g., 5HTT, MOA, DRD2, and DRD4), possibly predicting liberalism or conservatism. Moreover, voters' genetic information may predict presidential outcomes more than the actual issues at hand or the presidential candidates themselves. Thus, political discussions on TV, radio, or other media may be morphed by one's reward gene polymorphisms and as such, may explain the prevalence of generations of die-hard republicans and equally entrenched democratic legacies. Indeed, even in politics, birds of a feather (homophily) flock together. We caution that our proposal should be viewed mindfully awaiting additional research before definitive statements or conclusions can be derived from the studies to date, and we encourage large scale studies to confirm these earlier reports.