Clindamycin In 5 Percent Dextrose Injection, Solution
Product Images NDC 0143-9268

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 5 technical images submitted to the FDA as part of the official labeling for Clindamycin In 5 Percent Dextrose (NDC 0143-9268). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Hikma Pharmaceuticals Usa 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

Structural Formula (Clindamycin In 5 Percent Dextrose Injection 1)

FDA Label Image

300mg Vial (Clindamycin In 5 Percent Dextrose Injection 2)

300mg Vial (Clindamycin In 5 Percent Dextrose Injection 2)
Clindamycin in 5% Dextrose Injection is a medication provided in a 300 mg per 50 mL dose for intravenous use. It comes in a single-dose container and is used for therapeutic purposes, with a recommended dose of 6 mg/mL. This product must be administered following the proper medical guidelines.*
FDA Label Image

600mg Vial (Clindamycin In 5 Percent Dextrose Injection 3)

FDA Label Image

900mg Vial (Clindamycin In 5 Percent Dextrose Injection 4)

900mg Vial (Clindamycin In 5 Percent Dextrose Injection 4)
Not available.*
FDA Label Image

Serialization (Clindamycin In 5 Percent Dextrose Injection 5)

Serialization (Clindamycin In 5 Percent Dextrose Injection 5)
This text provides information related to a product. It includes the Global Trade Item Number (GTIN), serial number (SN), expiration date (EXP), and lot number (LOT). The GTIN is 0301234567896, the SN is 1234567890123, the EXP date format is MMMYYYY (month and year), and the LOT number is ABCDE12345. This information is commonly used for product identification and tracking purposes.*

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