Addiction is a chronic condition marked by the involvement of brain both anatomically and physiologically. Research in this domain has put forwarded numerous insights on this fact. However, inclusion of machine leaning models in addiction research is still in its early stage and there is a lot of scope especially in the domain of diagnosis of addiction. This chapter will discuss about various types of addiction, Advancements, Challenges, and Future Directions of use of machine learning in addiction researches.