Product Images Guanfacine
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Product Label Images
The following 13 images provide visual information about the product associated with Guanfacine NDC 0228-2850 by Actavis Pharma, 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.
This is a medication label for Guanfacine extended-release tablets, with a dosage instruction to not crush or chew the tablet before swallowing. The label has a product code of NDC0226-2850-11 and is manufactured by Actavis in the USA. The exact dosage is not mentioned, and the label advises referring to an accompanying product.*
This is a prescription drug information label that provides details on the medication Guanfacine, which comes in the form of extended-release tablets. The label warns against crushing, chewing or breaking the tablets before swallowing. The drug is distributed by Actavis and requires a prescription to obtain.*
This is a description of a medication called "Guanfacine f—Extended-Release Tablets". The medication comes in a bottle with 100 tablets, and should not be crushed or chewed before swallowing. The bottle contains instructions to dispense the medication separately for each patient. There are several numbers and codes listed on the bottle, including the drug identification number (NOC 0228-2853-11) and a phone number for customer service inquiries. Additionally, there is information about the active ingredients of the medication, which include Goiacng oo and Smg Gooscine b. The description also indicates that the medication is only available with a prescription from a licensed pharmacist or doctor.*
The text describes a graph showing the plasma concentration of Guanfacine over time. The graph shows the concentrations of both Guanfacine Extended-Release and Immediate-Release Guanfacine at a dose of 1mg once a day.*
* 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.