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Product Images Lamotrigine

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Lamotrigine NDC 68151-4249 by Carilion Materials Management, 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.

00093068801

00093068801

Figure1.jpg - Figure1

Figure1.jpg - Figure1

The given text suggests the presentation of a data table or chart. The table/chart titled "Failure Probability (%)" shows the probability of failure in percentage (%) for a given unit, system, or process over a period of 10 weeks. However, as there is no other information available, the interpretation could vary.*

Figure2.jpg - Figure2

Figure2.jpg - Figure2

lamotrigine structural formula - image 01

lamotrigine structural formula - image 01

Depiction of Lamotrigine Tablets (Chewable, Dispersible) - image 02

Depiction of Lamotrigine Tablets (Chewable, Dispersible) - image 02

This appears to be a description of two different medications in pill form. The first pill is 5mg, white or off-white in color, with the numbers "688" and "93" debossed on opposite sides. The second pill is 25mg, also white or off-white, with the numbers "132" and "93" debossed on opposite sides. Without further context or information, it is not possible to determine what these medications are used for or their potential side effects.*

Label Image - lbl681514249

Label Image - lbl681514249

This appears to be a prescription label for Lamotrigine, a medication used to treat seizures and bipolar disorder. The medication is in the form of chewable or dispersible tablets, with a dosage strength of 5mg. The label also contains a lot number (W012514) and a PDM (Pharmacy Data Management) number (4240) which is only for prescription use.*

* 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.