The Drug Abuse Treatment Cost Analysis Program DATCAPP) was designed in the early 1990s as a research guide to collect and analyze financial data from addiction treatment programs.
The recent advent of high-throughput experimental technologies, such as gene expression profiling, genome-wide association studies (GWAS), and next-generation sequencing (NGS), has revolutionized biomedical research and generated a massive amount of data for addiction research [ 4, 5].
Behavioral data included addictions, sexual promiscuity, washing hands before eating, eating away of home (in restaurants and fast food outlets), consumption of unpasteurized milk, untreated water, and unwashed raw vegetables or fruits, foreign travel, and type of flooring at home.
An even more recent extension is a developing ENIGMA-Addiction working group that will analyze data relevant to addiction phenotypes including case-control comparisons across a variety of substances, and going beyond this to examine the influence of comorbidities, gender and stages of disorder.
Using spontaneous data from the addiction unit we found that tramadol dependence fulfilling DSM-IV criteria occurs in 23 males with no known history of substance abuse.
It had taken gambling several decades of extensive research to make the cut, and there simply wasn't enough systematic, longitudinal data about Internet addiction.
This is the first study to compare and combine data about exercise addiction (using EAI data) cross-culturally.
The growing public and political alarm over how big data platforms stoke addiction and exploit people's trust and information — and the idea that an overarching framework of not just laws but digital ethics might be needed to control this stuff — dovetails neatly with the alternative track that Apple has been pounding for years.
In drug addiction, data support the existence of a hypodopaminergic state at both the presynaptic and postsynaptic levels [ 25].
Taken together, these data suggest that addiction to DNA damage and PI3K/AKT/mTOR pathways may be associated with sensitivity to UCN-01 in GSCs.
