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(as of Apr 05, 2025 15:24:24 UTC – Details)
Revised and Updated, with a New Chapter on Trauma and Anxiety, a List of Resources, and More
Over 7 Million Copies Sold
A cultural phenomenon that has helped heal millions of readers, this modern classic holds the key to understanding codependency and unlocking its hold on your life.
As heard on Glennon Doyle’s We Can Do Hard Things podcast.
Melody Beattie’s compassionate and insightful look into codependency—the concept of losing oneself in the name of helping another—has guided millions of readers toward the understanding that they are powerless to change anyone but themselves and that caring for the self is where healing begins.
Is someone else’s problem your problem? If, like so many others, you’ve lost sight of your own life in the drama of tending to a loved one’s self-destructive behavior, you may be codependent––and you may find yourself in this book. With personal reflections, exercises, and instructive stories drawn from Beattie’s own life and the lives of those she’s counseled, Codependent No More helps you break old patterns and maintain healthy boundaries and offers a clear and achievable path to healing, hope, freedom, and happiness.
This revised edition includes an all-new chapter on trauma and anxiety—subjects Beattie has long felt necessary to address within the context of codependency—making it even more relevant today than it was when it first entered the national conversation over 35 years ago.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
Customers say
Customers find this book to be an excellent resource that changed their lives for the better, written in simple terms and filled with relatable real-life stories. They appreciate its understanding of codependency and its nice background on the healing process, with one customer noting how it helped them through a tough situation. The book receives mixed feedback regarding its religious content, with several customers noting its heavy reliance on these themes.
AI-generated from the text of customer reviews