Product Images Mercaptopurine
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 9 images provide visual information about the product associated with Mercaptopurine NDC 0054-0879 by Hikma Pharmaceuticals Usa 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.
Bottle Label - 100 mL per bottle - bottle
This text provides information about a medication called Mercaptopurine Oral Suspension, with each bottle containing 100 mL of the solution. The active ingredient is mercaptopurine at a concentration of 20 mg/mL. The instructions include shaking the bottle before use for at least 30 seconds. It also mentions inactive ingredients and advises to refer to the package insert for more details. The usual dosage information and a caution for individuals with Phenylketonuria are also provided. The manufacturer is mentioned as Hikma Pharmaceuticals USA Inc. It is recommended to store the medication at 20° to 25°C and keep it out of reach of children. Additionally, the unused portion should be discarded after 8 weeks from first opening.*
Bottle Carton - 100 mL per bottle - carton
This is a description for Mercaptopurine Oral Suspension. It is recommended to shake vigorously before use for at least 30 seconds. The medication should be stored at 20°C to 25°C and in a dry place. Each bottle contains 2000mg/100mL of mercaptopurine USP as the active ingredient. The bottle comes with an adapter and a dispensing syringe. Unused portions should be discarded after 8 weeks from opening. This product is distributed by Hikma Pharmaceuticals USA Inc.*
Chemical Structure - mercaptopurine 01
Figure A - mercaptopurine 02
Figure B - mercaptopurine 03
Figure C - mercaptopurine 04
Figure D - mercaptopurine 05
This description is not available.*
Figure E - mercaptopurine 06
Figure F - mercaptopurine 07
* 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.
