Lisinopril
Product Images NDC 10544-623

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Lisinopril (NDC 10544-623). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Blenheim Pharmacal, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Label (Label Lisinopril Tabs 2 5mg Bpi(10544 623 30) Qualitest(0603 4209 28) Rev1 Copy)

This is a medication description for Lisinopril Tablets, USP 2.5mg with the NDC number 10544-623-30 and a batch number of BPOROOO000. The medication is kept in a container that resists light and moisture, and should be stored in a controlled room temperature (20-25°C). The package insert provides instructions on dosage. The tablets are obtainable only with a prescription, and the user should keep them out of reach of children. The expiry date is 00/00/0000. The text lists a few other batch numbers for this medication.*

FDA Label Image

Label (Label Lisinopril Tabs 5mg Bpi(10544 585 30) Qualitest(0603 4210 32) Rev1)

This is a description of a drug called Lisinopril in tablet form. The drug comes in 5mg strength with 20 or 30 tablets in a package. The package should be stored in controlled temperature in order to retain its effectiveness. The drug is only available with a prescription and the correct dosage can be found in the package insert. The information includes production and expiration date along with manufacturing identification numbers and lot numbers. The text also includes warnings to keep the package out of children's reach and to protect tablets from heat, moisture, and freezing. The last line seems to be a code or identification number.*

FDA Label Image

Structure (Lisin 1)

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.