Product Images Amoxicillin And Clavulanate Potassium

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Product Label Images

The following 5 images provide visual information about the product associated with Amoxicillin And Clavulanate Potassium NDC 67296-1921 by Redpharm Drug, 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.

label-125mg - label 125ml acp 600

label-125mg - label 125ml acp 600

This is a prescription information for a medication containing Amoxicillin and Clavulanate Potassium. It is an oral suspension with a concentration of 600 mg Amoxicillin and 42.9 mg Clavulanic acid per 5 mL. The NDC number is 81964-203-69. The prescription information also includes the total quantities of Amoxicillin and Clavulanic Acid in the suspension.*

label-200mL - label 200ml acp 600

label-200mL - label 200ml acp 600

This text appears to be a description of a pharmaceutical product called "AMOXICILLIN AND CLAVULANATE" in a powder form for oral suspension. The dosage is 600 mg/42.9 mg per 5 mL. The product is supplied by USAntbiotics, LLC and should be stored below 25°C. The information includes details on dosage and administration along with some cautionary statements. It is equivalent to 24 grams and comes in a net weight of 1716 grams.*

label-75ml - label 75ml acp 600

label-75ml - label 75ml acp 600

This is a product label for an oral suspension containing amoxicillin and clavulanate potassium, which are commonly used antibiotics to treat bacterial infections. The National Drug Code (NDC) for this product is 81964-203-51. Each 5 mL of suspension contains 600 mg of amoxicillin and 42.9 mg of clavulanic acid. It is important to follow the prescription provided by a healthcare professional when using this medication.*

Figure - struc amox 01

Figure - struc amox 01

Figure - struc clav 02

Figure - struc clav 02

* 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.