Topic-specific social media forums such as Reddit have become popular platforms for users discussing health-related information as well as for scientific analysis of that information. Such discussions among users have been found to be effective in providing useful insights and assistance in many healthcare applications. This study focuses on one such application, where we utilize Reddit posts related to drug addiction and substance abuse, in order to help the addicted people. We observe some linguistic differences in the posts as users gradually move from the addicted stage to more and more advanced recovery stages. We then classify user-posts on Reddit as to be indicative of drug addiction or of different stages of recovery of the user. By annotating Reddit posts with the help of standard social and health psychology literature, we develop a Machine Learning classifier based on linguistic features, to classify the posts among different classes related to addiction and recovery. Finally, we identify addicted users having an intention to recover and develop a methodology for personalized mentor recommendation, whereby we identify potential mentors who are already in their advanced stage of recovery from usage of the same drugs as the target addicted user. To our knowledge, this work is the first attempt to utilize social media for helping addicted users having intention to recover with personalized mentor recommendations to facilitate their process of recovery.