Product Images Metoclopramide

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Metoclopramide NDC 71872-7265 by Medical Purchasing Solutions, Llc, 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.

71872-7265-1.pdp - 71872 7265 1

71872-7265-1.pdp - 71872 7265 1

The text describes Metoclopramide Injection, USP, which is a drug used for intravenous or intramuscular use. It contains 10 mg of metoclopramide base and has a preservative-free formula. It comes in a 2mL single-dose vial with a lot number and expiration date. The pharmacist must provide a medication guide. The solution should be protected from light and stored at controlled room temperature. The unused portion should be discarded. The drug is manufactured in India and distributed by a company in East Brunswick, NJ. The text also provides important information about the product's composition and directions for use.*

structure - e535d03b 2a38 458b b6b0 410aed3afef9 01

structure - e535d03b 2a38 458b b6b0 410aed3afef9 01

logo - e535d03b 2a38 458b b6b0 410aed3afef9 02

logo - e535d03b 2a38 458b b6b0 410aed3afef9 02

logo - e535d03b 2a38 458b b6b0 410aed3afef9 03

logo - e535d03b 2a38 458b b6b0 410aed3afef9 03

label sanand - e535d03b 2a38 458b b6b0 410aed3afef9 04

label sanand - e535d03b 2a38 458b b6b0 410aed3afef9 04

This is a description of a medication labeled as NDC 23155-240-31. The injection produced by Emeure Pharmaceuticals Ltd contains 10 mg of solution per 2 mL. It is meant for intravenous or intramuscular use and is distributed by Avet Pharmaceuticals Inc. The manufacturing license number is G/28/1655, with the latest revision being in July 2020. The vial is a single-dose of 2 mL, and the label presents an area of 12.25x8 mm.*

* 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.