If you need a database you can search and use to get access to drug products, DrugBank is a good choice. It's got a large database of more than 500,000 drug products, and it's got powerful tools like Clinical API, Drug Search and US Drug Labels API that offer more advanced search and patient-focused information so you can filter and categorize drugs by route, dosage, form and other criteria.
Another good choice is Clair, a clinical AI reference platform that's got a wealth of clinical data and references. With a database of more than 200 million clinical studies, Clair can help you find information on drug interactions and FDA package inserts. Its open search interface lets you drill down through the data to find what you need, and it's a good resource for health care professionals.
If you're looking for a more research-oriented system, Nextnet is a cloud-based system for biomedicine scientists and researchers. It aggregates biomedical knowledge from around the world and lets you perform semantic searches, find concepts in scientific literature and tap into a large semantic biomedical knowledge network. It can be good for integrating and contextualizing information from different data sources, speeding up research and development.
The three systems have powerful tools to let you search and access drug products in different ways, and they can all be useful for making health care decisions. DrugBank and Clair are both good choices for their large databases and powerful search tools, and Nextnet is good for researchers trying to digest and analyze a lot of biomedical data.