Product Images Enalapril Maleate
View Photos of Packaging, Labels & Appearance
- enalapril-structure - Enalapril structure
- 10mg-label-1000 - label 10mg 1000s
- 10mg-label-100 - label 10mg 100s
- 2-5mg-label-1000s - label 2 5mg 1000s
- 2-5mg-label-100s - label 2 5mg 100s
- 20mg-label-1000 - label 20mg 1000s
- 20mg-label-100 - label 20mg 100s
- 5mg-label-1000 - label 5mg 1000s
- 5mg-label-100 - label 5mg 100s
Product Label Images
The following 9 images provide visual information about the product associated with Enalapril Maleate NDC 50228-228 by Sciegen 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.
10mg-label-1000 - label 10mg 1000s
This text contains information about Enalapril Maleate tablets, USP, with a dosage of 10mg. The warning advises keeping the medication out of reach of children. It also includes details about the manufacturer, Gen Pharmaceuticals, located in Hauppauge, NY. This medication is commonly prescribed for managing hypertension.*
2-5mg-label-1000s - label 2 5mg 1000s
This appears to be a description for Enalapril Maleate tablets, with a dosage of 25 mg. It includes usage information, a warning to keep the medication out of reach of children, and guidance for storage. The manufacturer is identified as 282 Pharmaceuticals based in Hauppauge, NY. The text also includes a National Drug Code (NDC) number for identification purposes.*
5mg-label-1000 - label 5mg 1000s
This text provides information about Enalapril Maleate tablets, USP, that come in blister packaging. It includes warnings to keep the medication out of reach of children and instructions for pharmacists to store it in tight, light-resistant containers. The manufacturer details are given for both 282 Pharmaceuticals and TeGen Pharmaceuticals. The NDC number is listed as 50228-229-10.*
* 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.