Product Images Dasatinib

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 7 images provide visual information about the product associated with Dasatinib NDC 62332-685 by Alembic Pharmaceuticals Inc., such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

30 tablets - dasatinib 100

30 tablets - dasatinib 100

30 tablets - dasatinib 140

30 tablets - dasatinib 140

This description provides information about a medication in tablet form containing 140 mg of dasatinib. It includes details on dosage instructions, storage conditions, manufacturer details, and precautions. The medication is manufactured by Alembic Pharmaceuticals and is to be swallowed whole without crushing, cutting, or chewing. The package contains 30 tablets and should not be used if the inner seal is broken. The National Drug Code (NDC) for this medication is 62332-689-30.*

60 tablets - dasatinib 20

60 tablets - dasatinib 20

60 tablets - dasatinib 50

60 tablets - dasatinib 50

Each film-coated tablet contains 50 mg dasatinib. Usual dosage information can be found in the package insert for dosing instructions, directions for use, and precautions. The tablets should not be crushed, cut, or chewed; they should be swallowed whole. This product is manufactured by Alombi Pharmaceuticals Limited Formulation Division and intended for use as indicated. It is important to store this medication at controlled room temperature. The manufacturer is Alembic Pharmaceuticals, Inc., located in Bedminster, New Jersey. The product is labeled with an NDC code 62332-685-60. Please ensure that the bottle seal is intact before use.*

60 tablets - dasatinib 70

60 tablets - dasatinib 70

30 tablets - dasatinib 80

30 tablets - dasatinib 80

This text is not readable.*

structure - dasatinib str2

structure - dasatinib str2

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.