Product Images Lidocaine

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Lidocaine NDC 64380-789 by Strides Pharma Science Limited, 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.

Image - abd1c440 5700 464d b745 558435ed1377 01

Image - abd1c440 5700 464d b745 558435ed1377 01

30 g tube label - abd1c440 5700 464d b745 558435ed1377 02

30 g tube label - abd1c440 5700 464d b745 558435ed1377 02

This is a label of Lidocaine Ointment USP, 5% by 3 strides Pharma Inc. It is a topical medication in the form of an ointment with a maximum print area of 2.791 inches. The sleeve length is 3.6667 inches and the maximum print area is 5/3. It contains Lidocaine USP 5% in a soluble base consisting of polyethylene glycol 300 and polyethylene glycol 1450. The recommended dosage will be present in the prescribing information. Store the ointment at a temperature between 20° to 25°C (68° to 77°F). It should be kept out of reach of children. The label has a code and NDC number for identification purposes. It also gives directions to open and close the cap.*

35.44 g tube label - abd1c440 5700 464d b745 558435ed1377 03

35.44 g tube label - abd1c440 5700 464d b745 558435ed1377 03

This is a description of a medication tube for Lidocaine Ointment USP with a dosage strength of 5%. The tube has a sleeve length of 4.2917 inches and a maximum print area of 3.6667 inches. The NDC number for this medication is 64380-780-32. The tube contains directions for use and dosage information. The medication should not be applied to the eyes and should be kept out of reach of children. The crimp of the tube contains information about the lot number and expiration date. The medication is manufactured by Sandoz Pharma Inc. and the crimp indicates that it was revised in January 2018.*

* 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.