Product Images Cephalexin
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 5 images provide visual information about the product associated with Cephalexin NDC 0093-4175 by Teva Pharmaceuticals Usa, 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.
image 1
image 2
This is a description for Cephalexin capsules, containing 250mg of cephalexin monohydrate USP per capsule. The package contains 100 capsules, with the NDC number of 0093-3145-01. The medication should be stored between 20° to 25° Celsius, and out of reach of children. USP Controlled Room should be consulted for further storage instructions.*
image 3
Description: Cephalexi Capsules USP of 500 mg strength are indicated for the treatment of bacterial infections. The active ingredient in the capsule is cephalexin monohydrate, equivalent to 500 mg of cephalen. The standard adult dosage is 250 mg. The medicine should be stored in a controlled room with the temperature between 20° to 25°C (68° to 77°F). This pack contains 100 capsules, and the NDC code is 0093-3147-01.*
image 4
This text seems to be a label of Cephalexin for Oral Suspension, which is used to treat bacterial infections. The medication contains 125 mg per 5 mL and comes in a 100 mL bottle when mixed. There is also dosage information for pediatrics and precautions to follow. The NDC number for the medication is 0093-4175-73.*
image 5
This is a description of a medication called "Cephalexin for Oral Suspension, USP" with a concentration of 250 mg per 5 mL. The National Drug Code (NDC) of the medication is 0093-4177-73. The text also includes dosage information, suggesting that the recommended dose is 25-50 mg per kg of body weight. However, the remainder of the text is not clear and thus not usable for additional description.*
* 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.