Product Images Lisinopril And Hydrochlorothiazide
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 4 images provide visual information about the product associated with Lisinopril And Hydrochlorothiazide NDC 63187-051 by Proficient Rx Lp, 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.
Structural Formula of Lisinopril - lisinopril and hctz tablets 1
Structural Formula of Hydrochlorothiazide - lisinopril and hctz tablets 2
Lisinopril 20mg/HCTZ 12.5mg - lisinopril and hctz tablets 3
This is a description of a medication called Lisinopril HCTZ, with a dose of 20mg/12.5mg. The product comes in a bottle with 90 tablets. The medication is light blue, round, and unscored, with "WATSON" and "861" debossed on the perimeter of one side and plain on the other side. The product ID is PLO05090, with the manufacturer being Watson Pharma Private Limited in India. The medication should be stored at a temperature between 20°C-25°C. The medication is intended for prescription use only and must be kept out of reach of children. Additionally, there are lot and expiration date numbers included.*
Lisinopril 20mg/HCTZ 12.5mg - lisinopril and hctz tablets 4
This is a description of a prescription medication in the form of lisinopril HCTZ 20mg/25mg tablets identified by NDC 63187-051-30. The medication is manufactured by Watson Pharma Private Limited in India and distributed by Proficient Rx LP in Thousand Oaks, California. The tablets are pink, round, beveled-edge, unscored and flat-faced, and are embossed with "WATSON" and "862" on one side and plain on the other side. The medication is packaged in quantities of 30 tablets per bottle. The label includes information regarding dosage and storage, and also includes a barcode with GTIN code 00363187051303, lot number 00000 and expiration date 00/00/00.*
* 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.