You will be shown a paragraph from a biomedical research article. Your task is to extract all drug combinations appearing in a specific sentence within in the paragraph. Each drug combination should be assigned to one of the following three categories:

- POS: Indicates a positive interaction between the drugs in the combination; for instance, drugs that have an additive or synergistic effect.
- NEG: Indicates a negative interaction between the drugs in the combination; for instance, combining these drugs might result in adverse side effects, or might reduce their efficacy.
- COMB: Indicates that the drugs are given in combination, but the type of interaction between the drugs cannot be determined based on the provided context.

Please format your answer as a json array. Each entry in the array should itself be an array formatted as [<drug_1>, <drug_2>, ..., <drug_n>, <category>] where <category> is one of the three categories listed above and <drug_1>, ..., <drug_n> are drug names copied verbatim from the input sentence. Different combinations may involve different numbers of drugs; in other words, the `n` in <drug_n> may vary.

As an example, the following output describes two extracted drug combinations; one between two drugs, and one between three drugs:

[["artesunate", "artemether", "COMB"], ["Nifedipine", "Labetalol", "Prazosin", "POS"]]

The paragraph and specific sentence are below. You should only extract relationships expressed in the specific sentence; the paragraph is provided for context.

In your output, return only the json array and no other text. If no drug combinations appear, return an empty array `[]`.

paragraph: Update on the in vivo tolerance and in vitro reduced susceptibility to the antimalarial lumefantrine. Coartem(®), the combination of artemether (an artemisinin derivative) and lumefantrine, has been adopted as the first-line treatment for uncomplicated malaria in many countries. The emergence of resistance to artemisinin derivatives has now been proven in South-East Asia, and there is concern that this may spread to other endemic areas. Strategies to contain and control the spread of artemisinin resistance have been proposed. On the other hand, not much attention has been given to lumefantrine. Indeed, for more than 7 years, reports have been emerging that the use of Coartem(®) is associated with rapid selection of lumefantrine-tolerant parasites. These parasites can survive in the presence of sub-therapeutic lumefantrine concentrations, and, interestingly, this in vivo phenotype is translated in vitro into reduced susceptibility to lumefantrine. As a result, such parasites could form the setting in which lumefantrine resistance would emerge. Thus, identifying genetic markers that reflect this phenotype (both in vitro and in vivo) could yield information on the mechanisms of lumefantrine resistance. More interestingly , lumefantrine tolerance is associated with an increase in chloroquine susceptibility , raising the possibility of re-introducing chloroquine . In this work, we have reviewed the current knowledge, and we present existing challenges and gaps with regard to the mechanisms of in vivo tolerance and in vitro reduced susceptibility to lumefantrine. The re-introduction of chloroquine in areas of high lumefantrine resistance is also discussed.

sentence: More interestingly , lumefantrine tolerance is associated with an increase in chloroquine susceptibility , raising the possibility of re-introducing chloroquine .
[]