Invited Expert Opinion- Bio-informatic and Limitation Di-rectives to Help Adopt Ge-netic Addiction Risk Screening and Identify Preaddictive Reward Dysregulation: Re-quired Analytic Evidence to Induce Dopamine Homeo-statsis

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Kenneth Blum Mark S Gold Jean Lud Cadet Marjorie C. Gondre-Lewis Thomas McLaughlin Eric R Braverman Igor Elman B. Paul Carney Rene Cortese Tomilowo Abijo Debasis Bagchi John Giordano Catherine A. Dennen David Baron Panayotis K Thanos Diwanshu Soni Milan T. Makale Miles Makale Kevin T. Murphy Nicole Jafari Keerthy Sunder Foojan Zeine Mauro Ceccanti Abdalla Bowirrat Rajendra D. Badgaiyan

Abstract

Addiction, albeit some disbelievers like Mark Lewis [1], is a chronic, relapsing brain disease, resulting in unwanted loss of control over both substance and non- substance behavioral addictions leading to serious adverse consequences [2]. Addiction scientists and clinicians face an incredible challenge in combatting the current opioid and alcohol use disorder (AUD) pandemic throughout the world. Provisional data from the Centers for Disease Control and Prevention (CDC) shows that from July 2021-2022, over 100,000 individuals living in the United States (US) died from a drug overdose, and 77,237 of those deaths were related to opioid use [3]. This number is expected to rise, and according to the US Surgeon General it is highly conceivable that by 2025 approximately 165,000 Americans will die from an opioid overdose. Alcohol abuse, according to data from the World Health Organization (WHO), results in 3 million deaths worldwide every year, which represents 5.3% of all deaths globally [4].

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How to Cite
BLUM, Kenneth et al. Invited Expert Opinion- Bio-informatic and Limitation Di-rectives to Help Adopt Ge-netic Addiction Risk Screening and Identify Preaddictive Reward Dysregulation: Re-quired Analytic Evidence to Induce Dopamine Homeo-statsis. Medical Research Archives, [S.l.], v. 11, n. 8, sep. 2023. ISSN 2375-1924. Available at: <https://esmed.org/MRA/mra/article/view/4211>. Date accessed: 16 july 2024. doi: https://doi.org/10.18103/mra.v11i8.4211.
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Research Articles