Addiction Rx 17+

National Institute of Mental Health and Neurosciences

Designed for iPad

    • Free

Screenshots

Description

Empowering doctors to manage people with addictive disorders. Ask relevant questions, access screening tools, and assist with evidence-based intervention.

The Addiction Rx app is an invaluable guide for qualified physicians, medical doctors, and specialists (MBBS or above) to provide effective care to patients dealing with addiction problems. Based on the "Standard Treatment Guidelines for the Management of Substance Use Disorders and Behavioral Addictions" book, this app is a comprehensive resource that helps physicians understand and manage common addictive disorders. While the author and publisher have made every effort to provide accurate information based on reliable sources, medicine is an ever-evolving science. Therefore, physicians are advised to use their clinical judgment and apply their knowledge accordingly. Developed by the Centre for Addiction Medicine at the National Institute of Mental Health and Neurosciences in Bangalore, India, this app is part of our commitment to democratizing knowledge.
We value your feedback! If you have any suggestions, comments, or concerns, please don't hesitate to drop us an email at chand@nimhans.ac.in.

What’s New

Version 16.3.0

Content updated with evidence-based guidelines.
Updated AUDIT, CIWA-Ar, and COWS assessments for improved accuracy.
Smoother Navigation with Improved interface for faster access to key sections.
Added extra learning materials in various sections.
Bug fixes and optimizations

App Privacy

The developer, National Institute of Mental Health and Neurosciences, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Not Linked to You

The following data may be collected but it is not linked to your identity:

  • Contact Info
  • User Content
  • Identifiers
  • Usage Data
  • Diagnostics

Privacy practices may vary based on, for example, the features you use or your age. Learn More

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