Episode 130: Marc Lewis

<p class="MsoNormal">Marc Lewis, PhD, is a neuroscientist and professor of developmental psychology. He has authored or co-authored more than fifty journal articles in neuroscience and developmental psychology. Presently, he speaks and blogs on topics in addiction science, and his critically acclaimed book, Memoirs of an Addicted Brain, is the first to blend memoir and science in addiction studies. His newly released book, The Biology of Desire, debunks the currently popular disease model of addiction.</p> <p class="MsoNormal"><strong><u>In this episode:</u></strong></p> <p class="MsoNormal"><strong><u>In this episode Dr. Lewis shares:</u></strong></p> <p class="MsoNormal">His personal/professional journey</p> <p class="MsoNormal">Memoir of an Addicted Brain – addiction as a learned behavior</p> <p class="MsoNormal">Disease vs Disorder</p> <p class="MsoNormal">Dopamine and the Reward Center</p> <p class="MsoNormal">Comparing substance use and addictive behaviors</p> <p class="MsoNormal">Relapse – causes</p> <p class="MsoNormal">Abstinence</p> <p class="MsoNormal">The Inner Critic and it’s role in Addiction, relapse, and Recovery</p> <p class="MsoNormal">Internal Family Systems</p> <p class="MsoNormal">How our environment and isms influence addiction and recovery</p> <p class="MsoNormal">Techniques Dr. Lewis uses when working with addiction; Not all approaches work for all people or at all times</p> <p class="MsoNormal">Pushback Dr. Lewis has received</p> <p class="MsoNormal">What’s next: Another book</p> <p class="MsoNormal">Signature Question – If you could tell a younger version of yourself something about addiction, what would it be?</p> <p class="MsoNormal">FOLLOW MARC:</p> <p class="MsoNormal">Website: <a href= "https://memoirsofanaddictedbrain.com/">https://memoirsofanaddictedbrain.com/</a></p> <p class="MsoNormal">ANNOUNCEMENTS:</p> <p class="MsoNormal" style= "mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; background: white;"> <span style= "font-size: 14.5pt; line-height: 107%; font-family: 'adobe