Product Images Peg-3350 And Electrolytes

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Product Label Images

The following 5 images provide visual information about the product associated with Peg-3350 And Electrolytes NDC 10572-100 by Affordable Pharmaceuticals, Llc, 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.

Sodium Sulfate Chemical Structure - peg01 0000 01

Sodium Sulfate Chemical Structure - peg01 0000 01

Sodium Bicarbonate Chemical Structure - peg01 0000 02

Sodium Bicarbonate Chemical Structure - peg01 0000 02

Sodium Chloride Chemical Structure - peg01 0000 03

Sodium Chloride Chemical Structure - peg01 0000 03

Principal Display Panel - Bottle Label - peg01 0000 04

Principal Display Panel - Bottle Label - peg01 0000 04

This is a medication label for PEG-3350 and Electrolytes for Oral Solution. The label provides the NDC number, mixing instructions, and detailed information about the sodium, potassium, bicarbonate, sulfate, chloride, and polyethylene glycol content of the solution when reconstituted. The label also states that each disposable jug contains powdered polyethylene glycol, sodium sulfate, sodium bicarbonate, sodium chloride, and potassium chloride. It also advises the pharmacist to dispense the enclosed Medication Guide to each patient. The manufacturer is Affordable Pharmaceuticals LLC based in Braintree, MA 02185.*

Principal Display Panel - Bottle Label - peg01 0000 05

Principal Display Panel - Bottle Label - peg01 0000 05

This is a medication instruction label. It includes mixing instructions, dosages, and package information. The medication is called PEG-3350 and Electrolytes for oral solution and has a pineapple flavor. It contains various electrolytes and polyethylene glycol 3350 when reconstituted. The medication guide should be dispensed to each patient. The address and date of the manufacturer are provided.*

* 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.