Product Images Linezolid

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Linezolid NDC 43386-022 by Lupin 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.

structure - 2723c870 f436 4add a0b9 29bb2e1c5cbe 01

structure - 2723c870 f436 4add a0b9 29bb2e1c5cbe 01

graph - 2723c870 f436 4add a0b9 29bb2e1c5cbe 02

graph - 2723c870 f436 4add a0b9 29bb2e1c5cbe 02

Linezolid is a medication that is typically administered orally at a dose of 600 mg every 12 hours. The text also includes a graph with time after each dose measured in hours. However, the graph data seems incomplete as only the numbers 4, 6, 8, 10, and 12 are visible. Without further information, it is difficult to provide a comprehensive description of the text.*

20 count - 2723c870 f436 4add a0b9 29bb2e1c5cbe 03

20 count - 2723c870 f436 4add a0b9 29bb2e1c5cbe 03

500 count - 2723c870 f436 4add a0b9 29bb2e1c5cbe 04

500 count - 2723c870 f436 4add a0b9 29bb2e1c5cbe 04

This text provides information about a medication with the NDC code 43386-022-05. Each tablet contains 600 mg of linezolid. The medication is manufactured by Lupin Pharmaceuticals, Inc., located in Baltimore, MD 21202. It is advised to store the medication at a temperature between 15°C and 25°C (59°F to 77°F), with permitted excursions to 15-30°C (59-86°F). Additionally, the medication should be protected from light and dispensed in tight, light-resistant containers. The text also mentions the use of child-resistant closures and provides a dosage and use recommendation. The text includes some unreadable characters, but overall provides helpful information about the medication.*

carton - 2723c870 f436 4add a0b9 29bb2e1c5cbe 05

carton - 2723c870 f436 4add a0b9 29bb2e1c5cbe 05

* 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.